<p><em>Internet of Thing</em><em> </em><em>(IoT</em><em>) technology is able to manage devices to collect and exchange data over the internet network. IoT is one of the keys to implementing Industry 4.0 in various sectors such as manufacturing, transportation and even education. IoT can be utilized for laboratory device management. The Production Systems Laboratory, Faculty of Engineering, Dian Nuswantoro University has CNC-based machines such as a CNC router machine with the G-Eike brand type WK1212. Through the implementation of IoT, user data, operational time, and electricity such as voltage and current while the CNC machine is operating can be sent and stored on a database server. Furthermore, analysis of the data is carried out for various purposes such as predicting machine maintenance schedules. The results of the research that has been carried out regarding the design of user authentication systems and electrical monitoring of the CNC machine have been tested with good results in extracting the required data via IoT to then be used in predicting machine maintenance. It is known from the test results that the user (student) authentication system can be carried out by inputting a username and password based on student data registered by the laboratory assistant. Electrical data (voltage, current, power, energy, frequency and power factor) is successfully sent from the control panel periodically every 10 seconds to the broker. The broker managed to save the data received into the MySQL database.</em> </p><p> </p><p class="IndexTerms"><strong>Keywords</strong>: Internet of Thing, CNC Router, G-Weike WK1212, Autentikasi, Monitoring.</p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p class="Abstract">Teknologi Internet of Thing (IoT) mampu mengelola perangkat untuk mengumpulkan serta bertukar data melalui jaringan internet. IoT menjadi salah satu kunci dalam penerapan industri 4.0 di berbagai sektor seperti manufaktur, transportasi, dan bahkan pendidikan. IoT dapat dimanfaatkan untuk manajemen perangkat laboratorium. Laboratorium Sistem Produksi Fakultas Teknik Universitas Dian Nuswantoro memiliki mesin-mesin berbasis CNC seperti mesin CNC router dengan Merk G-Eike tipe WK1212. Melalui penerapan IoT maka data pengguna, waktu operasional, dan kelistrikan seperti tegangan dan arus selama mesin CNC beroperasi dapat dikirim dan disimpan pada server basis data. Selanjutnya, analisis terhadap data tersebut dilakukan untuk berbagai keperluan seperti memprediksikan jadwal pemeliharaan mesin. Hasil dari penelitian yang telah dilakukan terkait perancangan sistem autentikasi pengguna dan monitoring kelistrikan mesin CNC tersebut telah diuji dengan hasil yang baik dalam menarik data-data yang dibutuhkan melalui IoT untuk kemudian dapat dimanfaatkan dalam prediksi pemeliharaan mesin. Diketahui dari hasil uji tersebut sistem autentikasi pengguna (mahasiswa) mampu dilakukan melalui input username dan password berdasarkan data mahasiswa yang didaftarkan oleh asisten laboratorium. Data kelistrikan (tegangan, arus, power, energi, frekuensi dan power factor) berhasil dikirim dari kontrol panel secara periodik tiap 10 detik ke broker. Broker berhasil menyimpan data yang diterima ke dalam database MySQL.</p>

<p><em>The cigarette smoke is one of the habits that exist in everyday life that cannot be avoided. Smoking can damage health such as respiratory disorders, poisoning of the central nervous system and heart. One of the causes of cigarette smoke, such as cervical cancer, heart impotence, pregnancy disorders and many more. Not only that, smoking can harm other people to take part in inhaling the smoke. From these problems, a Cigarette Smoke Monitoring System was created using a Flame Sensor, MQ 135 Sensor and DHT11 Sensor with Wemos D1 R1 and Blynk to increase usage and monitoring efficiency to properly neutralize Cigarette Smoke in the room. So that a solution appears to the above problems by making this tool, the cause of harmful cigarette smoke can be minimized and the amount of cigarette smoke can be monitored every day due to the manufacture of this tool. The cigarette smoke monitoring system also functions to warn people who violate the smoking ban in a certain room. This research produces a prototype tool using 3 Flame Sensors, DHT11 Sensors and MQ 135 Sensors to detect the presence of fire. Blynk IoT to display data on smartphones and can be monitored via the Thingspeak Web to temporarily store data. Based on the test and measurement results obtained, the sensor used in the final project works properly. The MQ 135 sensor detects CO2 gas levels with an error value of 13.8%, the DHT 11 sensor when it detects temperature gets an error value of 7.17% and when it detects humidity it gets an error value of 3.29%.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: Cigarette Smoke Monitoring, Internet Of Things (IoT), Web Thingspeak.</em></p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p>Asap Rokok merupakan salah satu kebiasaan yang ada di kehidupan sehari-hari yang tidak bisa dihindari. Merokok dapat merusak kesehatan seperti gangguan pernafasan, keracunan sistem saraf pusat dan jantung. Salah satu penyebab asap rokok seperti kanker serviks, impotensi jantung gangguan kehamilan dan masih banyak lagi. Tidak hanya itu saja, merokok bisa membahayakan orang lain untuk ikut menghirup asapnya. Dari permasalahan tersebut dibuatlah Sistem Monitoring Asap Rokok menggunakan Flame Sensor, Sensor MQ 135 dan Sensor DHT11 dengan Wemos D1 R1 dan Blynk untuk meningkatkan efisiensi penggunaan dan monitoring untuk menetralisir Asap Rokok pada ruangan dengan baik. Sehingga muncul solusi terhadap permasalahan diatas dengan pembuatan alat ini, asap rokok yang berbahaya itu dapat diminimalisir penyebabnya dan dapat dimonitoring banyaknya asap rokok setiap harinya karena pembuatan alat ini. Sistem monitoring asap rokok berfungsi juga untuk memperingatkan kepada orang yang melanggar larangan merokok pada suatu ruangan tertentu, Peneletian  ini menghasilkan sebuah prototype alata dengan menggunakan 3 sensor Flame Sensor, Sensor DHT11 dan Sensor MQ 135 Mendeteksi kebaradaan api  Suhu,Kelembaban dan Kadar Asap CO2 sebagai parameter input untuk diproses pada Mikrokontroller Wemos D1 R1 ESP8266 kemudian buzzer relay dan fan sebagai indikator apabila terdeteksi asap rokok pada ruangan operasi ini menghasilkan nilai output pada tampilan OLED.  Blynk IoT untuk menampilkan data pada smartphone dan bisa dapat dimonitoring melalui Web Thingspeak untuk menyimpaan data sementara. Berdasrkan hasil pengujian dan pengukuran yang di dapat, sensor yang digunakan dalam project akhir bekerjadengan semestinya.Sensor MQ 135 mendeteksi kadar asap gas CO2 memiliki nilai error cukup besar 13,8 %,Sensor DHT 11 pada saat mendeteksi suhu mendapatkan nilai error sebesar 7,17 % dan  pada saat mendeteksi kelembapan mendapatkan nilai error sebesar 3,29 %.</p>

<p><em>The use of robotics to cut grass has been widely used to make it easier and reduce the risk of danger from being hit by cutting blades. Robotic lawn mowers can replace conventional lawn mowers in terms of efficiency and safety in use. In this research, a grass cutting robot will be designed, which will be controlled remotely using a remote control. The drive on the lawn mower robot uses a DC Gearbox motor for forward and reverse movement, a DC Servo motor for turning right and left, and a DC RS 755 motor for movement or to rotate the lawn mower blade. From the results of the tests that have been carried out, the driving performance of the grass cutting robot is in accordance with the design. For forward and reverse movement, the remote control can remotely control the DC Gearbox motor, and the robot lawn mower motor has forward and reverse movement. Where for the forward movement speed of step 1, the speed is 287 rpm - 489 rpm with a torque of 1.1651 Nm - 0.6838 Nm. For step 2 forward movement speed, the speed is 608 rpm - 1,200 rpm with a torque of 0.5500 Nm - 0.2787 Nm. Then for step 1 reverse movement speed, the speed is 432 rpm - 631 rpm with a torque of 0.7741 Nm - 0.5299 Nm. For step 2 reverse movement speed, the speed is 973 rpm - 1,071 rpm with a torque of 0.3437 Nm - 0.3122 Nm. Then for right and left turning movements, the remote control can remotely control the DC Servo motor, and the grass cutting robot has turned right and left. Where for the robot's turning movement to the right and left, step 1 at a speed of 287 rpm - 489 rpm gets a turning angle of 30° with a turning radius of 180°, and step 2 at a speed of 608 rpm - 1,200 rpm gets a turning angle of 20° with a turning radius. 180°. Furthermore, for the movement of the lawn mower blade, the remote control can remotely control the RS 755 DC motor, and the lawn mower blade on the robot rotates. Where for the step 1 grass cutter blade movement speed, the speed is 172 rpm - 229 rpm with a torque of 1.9442 Nm - 1.4602 Nm. For step 2 grass cutter blade movement speed, the speed obtained is 806 rpm - 918 rpm with a torque of 0.4149 Nm - 0.3643 Nm. For step 3 grass cutting blade movement speed, the speed is 976 rpm - 1,147 rpm with a torque of 0.3426 Nm - 0.2915 Nm.</em> </p><p> </p><p class="IndexTerms"><strong>Keywords</strong>: Mover, Robot, Lawn Mower.</p><p class="Abstract" align="center"><strong> </strong></p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p class="Abstract">Penggunaan robotika untuk memotong rumput sudah banyak dilakukan untuk memudahkan serta mengurangi resiko bahaya terkena pisau pemotong. Robot pemotong rumput dapat menggantikan mesin potong rumput konvensional dalam hal efisiensi serta keamanan dalam penggunaaan. Pada penelitian ini akan dirancang penggerak robot pemotong rumput, yang dikendalikan yang dikendalikan dari jarak jauh menggunakan remote control. Penggerak pada robot pemotong rumput menggunakan motor DC Gearbox untuk gerakan maju dan mundur, motor DC Servo untuk gerakan belok ke kanan dan ke kiri, dan motor DC RS 755 untuk gerakan atau untuk memutar pisau pemotong rumput. Dari hasil pengujian yang telah dilakukan, kinerja penggerak pada robot pemotong rumput sesuai dengan perancangan. Untuk gerakan maju dan mundur, remote control dapat mengendalikan dari jarak jauh motor DC Gearbox, dan robot pemotong rumput motor telah bergerak maju dan mundur. Dimana untuk kecepatan gerakan maju step 1 didapatkan kecepatan 287 rpm -  489 rpm dengan torsi 1,1651 Nm - 0,6838 Nm. Untuk kecepatan gerakan maju step 2 didapatkan kecepatan 608 rpm - 1.200 rpm dengan torsi 0,5500 Nm - 0,2787 Nm. Kemudian untuk kecepatan gerakan mundur step 1 didapatkan kecepatan 432 rpm - 631 rpm dengan torsi 0,7741 Nm - 0,5299 Nm. Untuk kecepatan gerakan mundur step 2 didapatkan kecepatan 973 rpm - 1.071 rpm dengan torsi 0,3437 Nm - 0,3122 Nm. Kemudian untuk gerakan belok ke kanan dan ke kiri, remote control dapat mengendalikan dari jarak jauh motor DC Servo, dan robot pemotong rumput telah belok ke kanan dan ke kiri. Dimana untuk gerakan belok ke kanan dan ke kiri robot step 1 saat kecepatan 287 rpm -  489 rpm didapatkan sudut belok 30° dengan radius putar 180°, dan step 2 saat kecepatan 608 rpm - 1.200 rpm didapatkan sudut belok 20° dengan radius putar 180°. Selanjutnya untuk gerakan pisau pemotong rumput, remote control dapat mengendalikan dari jarak jauh motor DC RS 755, dan pisau pemotong rumput pada robot telah berputar. Dimana untuk kecepatan gerakan pisau pemotong rumput step 1 didapatkan kecepatan 172 rpm - 229 rpm dengan torsi 1,9442 Nm - 1,4602 Nm. Untuk kecepatan gerakan pisau pemotong rumput step 2 didapatkan kecepatan 806 rpm - 918 rpm dengan torsi 0,4149 Nm - 0,3643 Nm. Untuk kecepatan gerakan pisau pemotong rumput step 3 didapatkan kecepatan 976 rpm - 1.147 rpm dengan torsi 0,3426 Nm - 0,2915 Nm. </p>

<p class="IndexTerms">This paper addresses the prevalent issue of increasing crimes in Indonesia, particularly vehicle thefts. To combat this challenge, we propose the development of an Internet of Things (IoT)-based vehicle security device capable of detecting intruders within the car and subsequently notifying the car owner through smartphone alerts. The implementation of this innovative technology holds the potential to enhance vehicle security and contribute to a safer environment for vehicle owners in the country.    In this study, we conducted a series of tests in a rural mountain area to examine the impact of vehicle and smartphone distance variation, as well as internet provider variation, on the response time of a vehicle safety device under limited internet signal conditions. The experiment involved distance variations of 100m, 200m, 300m, 400m, 500m, and 600m, with the internet providers being the most expensive and the cheapest provider in Indonesia. By investigating these factors, we aimed to gain insights into optimizing the response time of the safety device, especially in areas with poor internet connectivity<span lang="IN">. </span>Utilizing the two-way ANOVA method, this experiment successfully demonstrates that variations in distances and internet providers significantly influence the notification response. The effective combination of the HC-SR501 passive infrared sensor and Nodemcu microcontroller is shown to detect movements inside the vehicle cabin and reliably notify the vehicle owner through their smartphone. These findings underscore the viability and efficiency of the proposed system in enhancing vehicle security and owner awareness.</p>

<p><em>The process of drying coffee beans often done by manually using sunlight which has its drawbacks, where coffee farmers cannot predict the weather which may rain at any time. If exposed to rain water, coffee beans that are slightly dry will become wet and moist again, which will affect the quality of the coffee beans. Therefore, in this research a literature study will be carried out, followed by the construction of an IoT-based coffee drying machine so that its condition can be monitored at any time. In the drying process, a PTC fan and heater will be used to regulate the temperature and humidity in the coffee drying machine to get better results in drying coffee. This research will also test how much temperature and humidity are optimal in the coffee drying machine, because it will also affect the drying time and the quality of the coffee produced. To determine the quality of the coffee beans and develop a coffee drying machine, researchers will collaborate with UKM Boyolali which has experience in drying coffee beans. IoT-based dying coffee machine has been made, with dimensions (80 x 47 x 115) cm, drying capacity of 30 grams, using electric fuel which is integrated with temperature and humidity sensors which function as drying temperature controllers, with measurement error calibration results of 1.2 and organoleptic tests show that the quality of the coffee produced by the tool/machine is better than the coffee produced by manual heating, where the coffee beans heated by the machine have a strong coffee aroma but do not smell burnt, the color is even, light brown in color and has a bitter taste and when crushed and dissolved there is no precipitate on the surface. The optimum temperature for the IoT-based dying coffee machine is 80ºC in 883 seconds or the equivalent of 15 minutes, which is equivalent to traditional drying by relying on sunlight for 10 days, while the optimal humidity for the IoT-based dying coffee machine is 15 %, this is in accordance with the quality standards of coffee as a result of heating.</em>         </p><p> </p><p><strong><em>Keywords</em></strong><em>: </em><em>Coffee beans</em><em>,</em><em> Drying coffee machine, IoT</em></p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p class="Abstract">Pada proses pengeringan biji kopi saat ini masih sering dilakukan secara manual menggunakan sinar matahari yang memiliki kekurangan, dimana petani kopi tidak bisa memprediksi cuaca yang kemungkinan bisa terjadi hujan setiap saat. Jika terkena air hujan biji kopi yang agak kering akan menjadi basah dan lembab kembali, dimana akan jadi berpengaruh pada kualitas dari biji kopi tersebut. Oleh karena itu pada penelitian ini akan dilakukan study literature, yang dilanjutkan dengan pembuatan mesin drying kopi berbasis IoT sehingga bisa dipantau kondisinya setiap saat. Pada proses pengeringan akan digunakan fan dan heater PTC untuk mengatur suhu dan kelembapan di dalam mesin drying kopi untuk mendapatkan hasil yang lebih bagus dalam pengeringan kopi. Pada penelitian ini juga akan diujikan seberapa besar suhu dan kelembapan yang optimal di dalam mesin drying kopi, karena akan berpengaruh juga pada waktu pengeringan dan kualitas kopi yang dihasilkan. Untuk menentukan kualitas dari biji kopi dan mengembangkan mesin drying kopi peneliti akan bekerjasama dengan UKM Boyolali yang sudah berpengalaman dibidang pengeringan biji kopi. Telah dibuat mesin dying kopi yang berbasis IoT, dengan dengan dimensi (80 x 47 x 115) cm, kapasitas pengeringan 30 gram, menggunakan bahan bakar listrik yang terintegrasi dengan sénsor suhu dan kelembaban yang berfungsi sebagai pengontrol suhu pengeringan, dengan hasil kalibrasi error pengukuran sebesar 1,2 dan uji organoleptic menunjukan bahwa kualitas kopi hasil alat/ mesin lebih bagus dibandingkan dengan kopi hasil pemanasan manual, dimana biji kopi hasil pemanasan dengan mesin mempunyai aroma kopi kuat namun tidak beraroma gosong, warna merata, berwarna coklat muda dan mempunyai rasa pahit dan ketika ditumbuk dan dilarutkan tidak ada endapan dipermukaan. Suhu optimal pada mesin dying kopi yang berbasis IoT adalah 80ºC dalam kurun waktu 883 detik atau setara dengan 15 menit yang mana hasil tersebut setara dengan pengeringan secara tradisional dengan mengandalkan sinar matahari selama 10 hari, sedangkan kelembapan optimal pada mesin dying kopi yang berbasis IoT adalah 15%, hal ini sesuai dengan baku mutu kopi hasil pemanasan.</p>

<p class="Text"><em>In Kendal, smoked fish producers generally use the hot smoking method, in which the fish is placed close to the smoke source and smoked for three to four hours. The upside is that it has a significant impact on supporting many human endeavors, such as in industrial fishing and food processing. While the negative impact on the environment, such as environmental damage due to global warming, and air pollution. To overcome this problem, a prototype of an environmentally friendly Electrostatic Precipitator chimney has been created. This prototype is operated using power from a Solar Power Plant (PLTS). The results of this study indicate the potential absorption of solar radiation by solar cells shows good efficiency in the first test, the efficiency of solar cells recorded the lowest value of 8.50%, the highest reached 15.76%, with an average of 13.03%. Furthermore, in the second test, the efficiency of the Solar Cell showed an increase, recording the lowest value of 12.83%, the highest reaching 17.19%, and an average of 14.72%. The best test is in the second test because the first test is cloudy and drizzling. By utilizing the intensity of solar radiation as a resource, the Electrostatic Precipitator can be operated quite well. In the two tests carried out, the average output power of solar panels reached 28.51 and 49.49 Watts. Meanwhile, for the power used as the input of the tool in the two experiments, the values recorded were 30.70 and 10.33 Watts.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: </em><em>Fumigation, Electrostatic Precipitator, PLTS (Solar Power Plant)</em></p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p>Di Kendal, para produsen ikan asap umumnya menggunakan metode pengasapan panas, di mana ikan diletakkan dekat dengan sumber asap dan diasapi selama tiga hingga empat jam. Dampak positifnya adalah memiliki dampak yang signifikan untuk mendukung banyak usaha manusia, seperti di bidang indutsri perikanan dan pengolahan makanan. Sedangkan, dampak negatifnya terhadap lingkungan, seperti kerusakan lingkungan akibat pemanasan global, dan polusi udara. Untuk menangani masalah tersebut, telah dibuat sebuah prototipe cerobong <em>Electrostatic Precipitator </em>yang ramah lingkungan. Prototipe ini dioperasikan menggunakan tenaga dari Pembangkit Listrik Tenaga Surya (PLTS). Hasil penelitian ini menunjukkan potensi tingkat penyerapan radiasi matahari oleh <em>Solar Cell</em> menunjukkan efisiensi yang baik pada pengujian pertama, efisiensi <em>Solar Cell</em> tercatat nilai terendah sebesar 8,50 %, tertinggi mencapai 15,76 %, dengan rata-rata 13,03%. Selanjutnya, pada pengujian kedua, efisiensi <em>Solar Cell</em> menunjukkan peningkatan, mencatat nilai terendah sebesar 12,83 %, tertinggi mencapai 17,19 %, dan rata-rata sebesar 14,72 %. Pengujian terbaik terdapat pada pengujian kedua dikarenakan pengujian pertama terdapat cuaca mendung dan gerimis. Dengan memanfaatkan intensitas radiasi matahari sebagai sumber daya, alat <em>Electrostatic Precipitator </em>dapat dioperasikan dengan cukup baik. Pada dua pengujian yang dilakukan, rata-rata daya <em>Output </em> panel surya mencapai 28,51 dan 49,49 <em>Watt</em>. Sementara itu, untuk daya yang digunakan sebagai <em>Input </em>alat tersebut dalam dua percobaan, nilai yang tercatat adalah 30,70 dan 10,33 <em>Watt</em>.</p>

<p class="Text"><em>Electricity is energy that flows through cable networks and has become an important part of the progress of human civilization in various fields. The high demand for electrical energy for consumers requires providers of electrical energy to provide a reliable but economical supply of electrical energy. Therefore, strategies and methods are needed to adjust the supply and demand of electrical energy. This can be achieved by carrying out proper and appropriate operational planning. One of the important steps in planning the operation of an electric power system is predicting the demand for electrical energy. However, in the existing research there are still deficiencies in the form of a high error rate. The purpose of this study was to determine the implementation of the multilayer perceptron artificial neural network to predict electricity in 2022-2026 at PT PLN (Persero) UP3 Salatiga. The study used time series data on electricity consumption for the previous 5 years. Based on the research that has been done, the best network variation is TRAINGDA 4 hidden layer with 20 hidden layer nodes, this network model at the training stage produces output with MAD of 2,624,072 kWh and MAPE of 2.79%, and at the stage testing produced an output with MAD of 3,728,386 kWh and MAPE of 3.24%.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: </em><em>M</em><em>ultilayer perceptron artificial neral network, </em><em>F</em><em>orecasting, </em><em>E</em><em>lectricity consumption.</em></p><p><em><br /></em></p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p class="Text">Listrik merupakan energi yang mengalir melalui jaringan kabel serta sudah menjadi bagian yang penting dalam kemajuan peradaban manusia di berbagai bidang. Tingginya kebutuhan energi listrik pada konsumen mengharuskan penyedia energi listrik menyediakan suplai energi listrik yang handal tetapi tetap ekonomis. Oleh karena itu, diperlukan strategi dan metode untuk penyesuaian antara <em>supplay</em> dan <em>demand</em> energi listrik. Hal tersebut dapat dicapai dengan melakukan perencanaan operasi yang baik dan tepat, salah satu langkah perencanaan operasi sistem tenaga listrik yang penting yaitu prediksi kebutuhan energi listrik. Namun dalam penelitian yang ada masih terdapat kekurangan berupa tingkat kesalahan yang masih cukup tinggi. Tujuan dari penelitian ini adalah untuk mengetahui implementasi <em>multilayer perceptron artificial neural network</em> untuk melakukan prediksi listrik pada tahun 2022-2026 pada PT PLN (Persero) UP3 Salatiga. Penelitian menggunakan data <em>time series</em> konsumsi energi listrik 5 tahun sebelumnya. Berdasarkan penelitian yang telah dilakukan didapatkan variasi jaringan terbaik yaitu TRAINGDA 4 <em>hidden layer</em> dengan 20 <em>node hidden layer</em>, model jaringan ini pada tahap <em>training</em> menghasilkan <em>output</em> dengan nilai MAD sebesar 2,624,072 kWh dan MAPE sebesar 2.79%, serta pada tahap <em>testing</em> menghasilkan <em>output</em> dengan nilai MAD sebesar 3,728,386 kWh dan MAPE sebesar 3.24%.</p>

The habit of storing the harvest in the form of nutmeg is something that has become a culture among the people of Morela village, Leihitu District, Central Maluku Regency. This research will examine theoretically the economic variables that influence the storage of dry nutmeg seeds by farming households. To analyze the relationship between variables that cause savings choices, an inter-time model is used. The choice is based on the meaning of the present and future times. If the present time is more meaningful then farmers will sell the nutmeg seeds they have and conversely if the future time is more meaningful it will increase the amount of nutmeg savings. The variables included in this research are relative price variables, current income and future income. This research uses primary data through interviews and questionnaires. The samples taken based on the purposive random sampling method were 75 farmers in Morela village. To analyze the magnitude of the influence of the independent variable on the dependent variable, cross-section regression was used using the Eviews tool. The results of the research show that the price variables at harvest, the estimated future price of cloves, and future consumption influence the clove savings of farmer households.

This research is entitled Analysis of Factors that Influence Traders' Income in the Aurduri Traditional Market, Jambi City. This research has a problem formulation regarding what factors can influence income in the Aurduri traditional market, Jambi City. The factors are capital, working hours and experience. Then this research uses quantitative methods, the type of data used in this research is secondary data and primary data, the object of this research is the Aurduri traditional market in Jambi City with a sample of 74 vegetable traders. Next, data collection techniques are through interviews, questionnaires and documentation.
The results of this research show that there is a partial influence of capital variables on traders' income at the Aurduri Traditional Market with the calculated t value > t table (2.218 > 1.994) and a significance value of 0.030 < 0.05, which means that Ho is rejected and Ha is accepted. In the working hours variable there is also a partial historical influence on the income of traders in the Traditional Market with the result of the calculated t value > t table (2.124 > 1.994) and a significance value of 0.037 > 0.05, which means that Ho is rejected and Ha is accepted. And for the last variable, namely the experience variable, there is also a partial influence on traders' income in the Traditional Market with the resulting value of t count > t table (4.283 > 1.994) and a significance value of 0.000 < 0.05, which means that Ho is rejected and Ha is accepted . So it can be concluded that there is a simultaneous influence between the variables of capital, working hours and experience on the income of traders at the Aurduri Traditional Market, Jambi City. Proven by the calculated f value > f table (16.427 > 3.13) and a significance value of 0.000 < 0.05 with a coefficient of determination (Adjusted R Square) of 53.9% while the remaining 46.1% is explained by other variables not examined in this research. So it can be concluded that Ha is accepted and Ho is rejected.

This research is motivated by a company engaged in the field of online transportation, because in the company of human resources is a determinant of success. The purpose of this study to explain the effect of work motivation, communication and non-physical work environment on employee performance. The study was conducted on Maxim drivers in Kediri. The research method used is quantitative method. This study used purposive sampling technique. The population of this study was 1000 drivers and the sample used was 69 respondents. The data analysis techniques used are multiple linear regression analysis, coefficient of determination (R2), t test and f test. The results obtained by this study concluded that work motivation has a positive and insignificant effect on performance. Communication has a negative and insignificant effect on performance. The non-physical work environment has a positive and significant effect on performance. Simultaneously work motivation, communication and non-physical work environment have a positive and significant effect on performance.