Campur Kode Di Lingkungan Masyarakat Desa Kedungbokor
(Prasetyo Yuli Kurniawan, Setiawan Setiawan, Evi Rahmawati)
DOI : 10.59581/jmpb-widyakarya.v1i2.686
- Volume: 1,
Issue: 2,
Sitasi : 0 23-Jun-2023
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| Last.02-Aug-2025
Abstrak:
Campur kode berarti menggunakan dua bahasa atau lebih dalam waktu yang bersamaan. Kode mengacu pada bahasa berdasarkan ragam daerah, dialek sosial (siolek), ragam dan gaya, serta ragam pemakaian dan pencatatan. Tujuan dari penelitian ini adalah untuk menjelaskan fenomena campur kode dalam komunikasi pada masyarakat desa Kedungbokor. Penelitian dilakukan dengan menggunakan metode penelitian deskriptif kualitatif. Sumber bahan penelitian adalah para pedagang pasar tradisional desa Kedungbokor yang melakukan transaksi jual beli dan komunikasi masyarakat dalam kehidupan sehari-hari. Pedagang pasar tradisional yang digunakan sebagai sumber data diidentifikasi terlebih dahulu. Pedagang pasar diobservasi dan diwawancarai oleh peneliti dengan menggunakan kuesioner.
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2023 |
Hubungan Komunikasi Teraupetik Perawat dengan Kepuasan Klien Post Operasi di Rumah Sakit Umum Medan
(Maria Haryanti Butarbutar, Yuly Peristiowati, Joko Prasetyo)
DOI : 10.59581/diagnosa-widyakarya.v1i2.645
- Volume: 1,
Issue: 2,
Sitasi : 0 30-May-2023
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| Last.02-Aug-2025
Abstrak:
Hospital service quality can be seen from the professional appearance of hospital personnel, efficiency and effectiveness of services and patient satisfaction. Communication was very important for nurses in interacting with clines. Clines satisfaction is a level of patient feeling that arises as a result of health services performance obtained after patient compares it with expectation. clines satisfaction was determined by the overall service provided in patient or family complaints. The study was to determine the relationship between nurse communication and postoperative clines satisfaction at Medan Hospital.The research design used analytical survey method with a Cross-Sectional approach. The population in this study were postoperative patients totaling 477 respondents. The sampling used is purposive sampling, namely taking for a purpose by determining certain characteristics that are considered representative of the population, sampling is the slovin technique, totaling 83 respondents.The results of the analysis using the Chi-Square test showed that the significant probability value (Asymp.Sign) of nurse communication was 0.002 < sig value .05, this proves that there was a relationship between nurse communication and clines satisfaction at Medan Hospital.The conclusion was that statistically a relationship between nurse communication with postoperative clines at Medan Hospital. It is recommended for nurses to maintain communication therapeutic nurse to obtain quality health services for postoperative patients.
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2023 |
Analisis Pendekatan Struktural Pada Puisi Berjudul “SILHUET” Karya Taufiq Ismail
(Wayan Tiadilona, Munaris Munaris, Heru Prasetyo)
DOI : 10.55606/mateandrau.v2i1.271
- Volume: 2,
Issue: 1,
Sitasi : 0 26-May-2023
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| Last.19-Aug-2025
Abstrak:
Poetry is one of the literary genres written in a beautiful and rhythmic language, using words full of meaning and emotions. The purpose of this research is to analyze Taufiq Ismail's poem "Silhuet" using a structural approach, as poetry has a dominant aesthetic function and carries beautiful meanings. This research uses a descriptive qualitative method with a structural approach and data collection techniques such as reading and note-taking. The results of this research are the overall physical and inner structures in Taufiq Ismail's poem "Silhuet." The physical structure analyzed includes the form of the poem, diction, concrete words, language style, and imagery, while the inner structure analyzed includes the theme, tone, mood, and message.
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2023 |
Penilaian saham secara fundamental menggunakan metode dividend discount model dan price earning ratio untuk keputusan investasi
(Hadi Satria Ganefi, Agus Prasetyono, Mei Rani Amalia)
DOI : 10.26623/jreb.v16i1.6367
- Volume: 16,
Issue: 1,
Sitasi : 0 11-May-2023
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| Last.09-Jul-2025
Abstrak:
<p><span>Penilaian saham merupakan suatu hal penting yang perlu dilakukan bagi investor dalam melakukan kegiatan investasinya. Hal ini dilakukan dengan tujuan untuk meminimalisir risiko dan memaksimalkan keuntungan yang merupakan syarat dan karakteristik saham <em>hight risk</em> – <em>hight return</em>. Investor dapat melakukan penilaian saham secara fundamental yaitu dengan memperhatikan kondisi kinerja keuangan sebagai dasar untuk pengambilan keputusan. Penelitian ini dilakukan untuk mengetahui harga wajar suatu saham pada perusahaan subsektor perbankan pada periode 2021. Penilaian saham dilakukan berdasarkan dua pendekatan yaitu <em>Dividen Discount Model</em> dan <em>Price Earning Ratio</em>, dari 47 perusahaan subsekektor yang terdaftar sebanyak 12 perusahaan memenuhi kriteria dan dipilih sebagai sampel. Hasil penelitian menunjukkan bahwa dari 12 perusahaan terpilih, terdapat 10 perusahaan yang berada dalam kondisi undervalued dan 2 perusahaan yang berada dalam kondisi <em>overvalued</em>. Dalam kondis <em>undervalued</em> invetor dapat mengambil keputusan dengan membeli saham tersebut, sedangkan pada perusahaan yang berada pada <em>overvalued</em> invetor dapat menjual saham.</span></p><p><span><em>Stock valuation is an important thing that needs to be done for investors in carrying out their investment activities.</em><em> This is with the aim of minimizing risk and maximizing profits which are the terms and characteristics of hight risk – hight return. Investors can make stock valuation fundamentally by taking into account the condition of financial performance as a basis for decision making. This research was conducted to determine the fair price of shares in banking sub-sector companies in the 2021 period. Stock valuation was carried out based on two approaches, namely the dividend discounted model and the price earning ratio, of the 47 registered sub-sector companies, 12 companies met the criteria and were selected as samples. The results showed that of the 12 companies selected, there were 10 companies that were undervalued and 2 companies that were overvalued. In undervalued conditions, investors can make decisions by buying these shares, whereas in overvalued companies, investors can sell their shares.</em></span></p><p><span><br /></span></p>
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2023 |
Sistem Pendukung Keputusan Untuk Pengendalian Bad Stock (BS) Menggunakan Fuzzy Tsukamoto
(Rusito Rusito, Didik Eko Prasetyo)
DOI : 10.51903/mifortekh.v3i1.306
- Volume: 3,
Issue: 1,
Sitasi : 0 04-May-2023
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| Last.23-Jul-2025
Abstrak:
In Bad Stock (BS) control at PT Sari Roti Semarang, it is crucial to reduce the company's significant losses. However, the selection of rejected and returned bread with poor quality is still prevalent. Based on production data and the amount of bad stock (a collection of returned bread from stores and rejected production), a decision support system for controlling bad stock using Fuzzy Tsukamoto is needed. In this decision support system, three variables are modeled: production, store returns, and production rejects. The production variable consists of two fuzzy sets: increase, remain the same, and decrease. The store returns variable consists of two fuzzy sets: decrease, remain the same, and increase. The production rejects variable consists of three fuzzy sets: few, normal, and many. The membership values are only two values, 0 and 1, while the membership values in the fuzzy sets are closed intervals [0,1]. By combining all these fuzzy sets, three fuzzy rules are obtained, which are then used in the inference stage. In the inference stage, the membership value of the antecedent (?) and the estimated amount of production (z) are found for each rule. The amount of rejected production (Z) is obtained by centered average defuzzification.
The research results based on expert validation testing indicate that the obtained values are in the range of 2.51-3.25, which is categorized as valid or good. Meanwhile, the validation testing from users indicates that the obtained value of 3.4 is in the range of 3.26-4.00, which is categorized as highly valid. The effectiveness testing of the system's performance results in an average value of 89.5%.
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2023 |
PENGARUH PENGGUNAAN TEKNOLOGI INFORMASI, KARAKTERISTIK INDIVIDU DAN BUDAYA KERJA TERHADAP KINERJA KARYAWAN
(Kurniawan Eko Prasetyo, Endang Rusdianti, Ardiani Ika Sulistyawati)
DOI : 10.26623/sbj.v1i2.6695
- Volume: 1,
Issue: 2,
Sitasi : 0 28-Mar-2023
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| Last.09-Jul-2025
Abstrak:
Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat meningkatkan kinerja yang dimiliki staff Universitas PGRI khususnya staff yang mendukung kegiatan akademik.. Sampel dalam penelitian ini seluruh karyawan kependidikan Universitas PGRI Semarang berjumlah 106 orang yang diambil dengan metode sensus. Analisis yang digunakan berupa analisis regresi berganda dalam SPSS. Hasil penelitian menunjukkan bahwa untuk meningkatkan kinerja karyawan adalah dengan meningkatkan penggunaan teknologi informasi yang baik, menguatkan karakter individu serta menjaga motivasi karyawan. Sementara motivasi kerja tercipta karena adanya budaya kerja yang baik, penggunaan teknologi informasi didukung oleh karakteristik Individu yang baik. Hal ini sesuai dengan pembuktian hipotesis yang menunjukkan hasil bahwa penggunaan teknologi informasi, budaya kerja dan karakteristik individu berpengaruh terhadap motivasi serta penggunaan teknologi informasi, motivasi dan karakteristik individu berpengaruh terhadap kinerja karyawan. Motivasi dapat berperan sebagai mediasi hubungan antara penggunaan teknologi informasi dan karakteristik individu terhadap kinerja karyawan.
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2023 |
PENGARUH BUDAYA HIRARKI DAN KOMPETENSI TEKNIS TERHADAP ALTRUISM
(Joko Prasetyo, Pahlawansjah Harahap, Paulus Wardoyo)
DOI : 10.26623/sbj.v1i2.6715
- Volume: 1,
Issue: 2,
Sitasi : 0 28-Mar-2023
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| Last.09-Jul-2025
Abstrak:
Tujuan penelitian ini adalah menganalisis pengaruh budaya hirarki, dan kompetensi teknis terhadap komitmen berkelanjutan dan altruisme pegawai Politeknik Ilmu Pelayaran Semarang. Populasi yang dipilih pada penelitian ini adalah seluruh pegawai Politeknik Ilmu Pelayaran Semarang. Jumlah responden yang digunakan dalam penelitian ini sebanyak 124 orang pegawai Politeknik Ilmu Pelayaran Semarang. Teknik pengambilan sampel dalam penelitian ini adalah metode sensus. Metode pengumpulan data adalah dengan menggunakan kuesioner. Metode analisis data yang digunakan adalah Structural Equation Modelling. Berdasarkan penelitian, budaya hirarki, dan kompetensi teknis berpengaruh positif terhadap komitmen berkelanjutan. Budaya hirarki tidak berpengaruh terhadap altruisme pegawai Politeknik Ilmu Pelayaran Semarang. Kompetensi teknis dan komitmen berkelanjutan berpengaruh positif terhadap altruisme pegawai Politeknik Ilmu Pelayaran Semarang.
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2023 |
ANALISIS PERBANDINGAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK SISTEM DETEKSI KATARAK
(Akmal Rusdy Prasetyo, Sussi, Bagus Aditya)
DOI : 10.51903/juritek.v3i1.604
- Volume: 3,
Issue: 1,
Sitasi : 0 11-Mar-2023
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| Last.23-Jul-2025
Abstrak:
One of the most vital senses for humans is sight. Humans utilize their eyes to take in visual information that is used for a variety of tasks, but vision problems are prevalent, ranging from minor disorders to serious disorders that can result in blindness. Cataracts are one of the factors contributing to this vision loss. In Indonesia, cataracts alone account for 81 percent of cases of blindness, and 40 percent of those affected don't even realize they have them. A technique for early cataract identification using digital photographs is one way to lower the incidence of cataract-related blindness. We used Support Vector Machine (SVM) and Convolutional Neural Network (CNN) techniques to create a cataract detection system. These two techniques are used to categorize normal eye classes, immature cataracts, and mature cataracts. A digital image that has been downsized to 64x64 pixels in Joint Photographic Group (JPG) format that was taken from earlier study serves as the input data. Support Vector Machine (SVM) and Convolutional Neural Network (CNN) methods used in the cataract detection process provide optimal results. The Support Vector Machine (SVM) method itself produces an accuracy value of 96.67%, while the Convolutional Neural Network method produces a better accuracy value of 98.89%.
Keywords: Cataract, Digital Image, Machine Learning, Support Vector Machine, Convolutional Neural Network
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2023 |
Pengintegrasian Nilai-nilai Kebangsaan dalam Pembelajaran Bahasa Indonesia untuk Mewujudkan Profil Pelajar Pancasila pada SMP di Surakarta
(Rika Cahyani Setyaningrum, Ain Nur Safira, Alfi Lutfiana Zahroini, Azis Sydney Nur Pradana, Christiana Arum Charlita, Ike Nur Baeti, Nurul Muharromah, Pandan Arum Ayu Damayanti, Rachma Intan Prasetyowati, Rizal Dwi Prassetiyo, Edy Suryanto, Kundharu )
DOI : 10.58192/sidu.v2i1.619
- Volume: 2,
Issue: 1,
Sitasi : 0 11-Mar-2023
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| Last.07-Jul-2025
Abstrak:
Indonesian language learning is a national language learning that is closely related to national values. Until now, learning Indonesian is used as a main subject in an educational institution. The role of Indonesian in learning at the junior high school level is expected to be able to realize the profile of Pancasila students who are instilled through national values in learning Indonesian. Therefore, the research conducted included an educational institution, namely a junior high school with an area coverage in Surakarta. This article aims to focus on the integration of national values in Indonesian language learning to realize the Pancasila Student Profile at the junior high school level in the Surakarta region. This article uses a qualitative method using field note data that has been made. The data source for this article is field note data from the results of the implementation of junior high school students in the city of Surakarta.
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2023 |
Penerapan Framework Laravel Pada Pembangunan Sistem Informasi Profil Desa Sukoharjo
(Arif Nugraha Hernanjaya, Yulita Kartika Sari, Nurul Kholisatul ‘Ulya, Rahardian Luthfi Prasetyo)
DOI : 10.59581/jusiik-widyakarya.v1i1.3149
- Volume: 1,
Issue: 1,
Sitasi : 0 28-Feb-2023
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| Last.02-Aug-2025
Abstrak:
The need for information for Sukoharjo Village is still lacking, Sukoharjo Village still provides information and makes complaints using conventional methods. This conventional method causes slow response and lack of monitoring and evaluation from village officials. This research aims to design a website-based Sukoharjo village profile information system. This research uses the waterfall method which starts from the analysis, design, coding and testing stages. Meanwhile, several methods in the data collection process were observation, interviews and literature study. And for the system testing method, black box testing is used with system design using UML (Unified Modeling Language). This village profile information system can disseminate information about Sukoharjo Village, especially about the village, organizational structure, population data and can make complaints online which can be accessed via devices owned by visitors.
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2023 |