The Unmanned ships have become a primary focus in maritime technology development to enhance efficiency and navigational safety in waters. In this research, a unmanned ship utilizing ESP32CAM as its core system is designed to detect navigation lights of other vessels and avoid potential collisions. The initial response of the ESP32CAM camera reads the colors of lights approaching the unmanned ship within a distance of less than 100cm. The ESP32CAM reads and identifies colors through image processing. When the ESP32CAM detects green and red lights, it commands the buzzer to sound. The color detection system works such that when the ESP32CAM detects a red light, it sends a signal to the servo motor to move left, and when it detects a green light, it sends a signal to the servo motor to move right. The servo motor functions as the ship's rudder. Testing of the navigation light system with ESP32CAM camera to prevent ship collisions is conducted with predetermined scenarios, including testing with red LEDs, green LEDs, and overall system testing. The results show that the navigation light system with ESP32CAM camera functions well. The ESP32CAM camera can optimally identify light colors at a distance of 100cm. Based on the conducted research, the ESP32CAM camera is capable of reading both the distance and colors of lights as specified at a distance of 100cm.

Indonesia as a state of law, all people have the same rights and position before the law (equality before the law). Law enforcement (rechtshandhaving) is a part of the law-making process in society. The objective of this study is to determine the position of narcotics offenders with justice collaborator status. One of the efforts to enforce criminal law is countermeasure against narcotics crime. Indonesian society and even the world community in general are currently faced with a very concerning situation due to the increasingly widespread illegal use of various narcotics. This research used normative legal research methods, through statutory legal approaches and conceptual approaches. Arrangements for justice collaborators are contained in Law Number 13 of 2006 in conjunction with Law Number 31 of 2014 concerning Witness Protection, Supreme Court Circular Letter (SEMA) Number 4 of 2011 concerning the treatment of whistleblowers and witnesses who cooperate (justice collaborators) in certain criminal cases. The application of the Law to the perpetrator of narcotics crime as a justice collaborator with consideration of the defendant's status as a Justice collaborator.

Indonesia sebagai negara hukum didalamnya semua orang tentu memiliki hak dan kedudukan yang sama di depan hukum. Semua dipandang sama baik dalam kedudukan dan pangkat (equality before the law), Penegakan hukum atau rechtstoepassing, rechtshandhaving, law enforcement, application adalah bagian dari proses pembuatan hukum yang ada di dalam masyarakat. Tujuan penelitian ini untuk mengetahui pengaturan terhadap Justice Collaborator, Untuk mengetahui kedudukan pelaku tindak pidana Narkotika dengan status Justice Collaborator. Usaha penegakan hukum pidana adalah salah satunya dengan penanggulangan kejahatan seperti tindak pidana narkotika. Masyarakat Indonesia bahkan masyarakat dunia pada umumnya saat ini dihadapkan pada keadaan yang sangat mengkhawatirkan akibat semakin maraknya pemakaian secara tidak sah bermacam-macam narkotika. Metode penelitian yang digunakan adalah metode penelitian hukum normatif, pendekan hukum yang digunakan adalah pendekatan Perundang-Undangan, pendekatan konseptual, Pengaturan terhadap Justice Collaborator terdapat pada Undang-Undang Nomor 13 Tahun 2006 juncto Undang-Undang Nomor 31 Tahun 2014 Tentang Perlindungan Saksi, Surat Edaran Mahkamah Agung (SEMA) Nomor 4 Tahun 2011 tentang perlakuan bagi pelapor tindak pidana (Whistle Blower) dan Saksi Pelaku yang Bekerjasama (Justice Collaborator) di Dalam Perkara Tindak Pidana Tertentu. Penerapan UU terhadap pelaku tindak Pidana Narkotika sebagai Justice Collaborator dengan pertimbangan status terdakwa sebagai Justice Collaborator.

Stunting is a significant public health issue and the prevalence of stunting in Indonesia was reported at 21.6% in 2022. This study used a mixed-methods approach. The qualitative component employed a single-case embedded study design, data were collected through semi-structured interviews involving 15 participants and analyzed by using a thematic approach using NVivo-12. Meanwhile, the quantitative component utilized a one-group pre-test post-test design involving 155 respondents, data were gathered using questionnaires and were analyzed using paired t-tests with SPSS-26.Participants had a lack of knowledge about stunting. However, they acknowledged various healthy nutrition and health programs for stunting prevention. There were also various programs managed by local government involving multisector bodies, and communities focusing on reducing stunting prevalence. However, there were expectations to strengthen the program strategies by providing home visits, online educational media, adequate facilities, and infrastructure within Integrated Community Services (ICS (Posyandu)). The paired t-test revealed a significant average difference between pre-test and post-test values, with a mean difference of 1.167 and a p-value of <0.008. The ongoing stunting alleviation program demonstrates the government’s commitment to multi-sectoral collaboration and the use of educational media, such as videos, significantly enhances respondents’ knowledge about stunting.

Kemajuan teknologi informasi telah membawa perubahan signifikan dalam berbagai aspek kehidupan manusia, termasuk pengelolaan zakat. Penelitian ini mengusulkan pengembangan sistem pendukung keputusan untuk memilih calon mustahiq zakat secara efektif dan adil di Masjid Nur-Hadi di kelurahan Dadimulyo, Lingkungan 2, Kisaran, Sumatera Utara, menggunakan metode SMART (Simple Multi Attribute Rating Technique) dan MOORA (Multi-Objective Optimization on The Basis of Ratio Analysis). Tahap penelitian melibatkan observasi, wawancara, dan studi pustaka. Lima kriteria digunakan dalam penelitian ini, termasuk pendapatan, jumlah tanggungan, tempat tinggal, kriteria khusus, dan kondisi kesehatan. Data mustahiq zakat fitrah tahun 2024 digunakan untuk analisis sebanyak 10 data. Hasil perankingan dari kedua metode tersebut kemudian dibandingkan dengan keputusan yang diambil oleh panitia zakat Masjid Nur-Hadi. Melalui metode SMART, sistem memberikan peringkat terbaik kepada alternatif yang paling sesuai dengan kriteria yang telah ditetapkan. Metode SMART menunjukkan potensi untuk digunakan sebagai alat bantu dalam pengambilan keputusan zakat yang lebih efisien dan adil.
 
 

Hypertension causes high rates of morbidity (sickness) and mortality (death). Hypertension is an increase in blood pressure in systolic and diastolic that comes and goes or persists. Hypertension is pressure higher than 140/90mmHg (Pangestika et al., 2022). Hypertension is also called the silent killer because this disease does not have specific symptoms, can attack anyone, and can cause degenerative diseases, even death (Yanita N.I.S, 2022).

Every woman experiences the process of giving birth, it is natural for women to give birth normally, namely through the vagina or normal birth canal. If a woman cannot give birth normally, medical personnel will perform an alternative delivery to help expel the fetus. If the conditions of the mother and fetus have complications during delivery, then to immediately save both of them it is necessary to carry out delivery procedures, one of the actions taken is caesarean section delivery (Safitri, 2020).

The purpose of this research is to analyze the implementation of democracy and village autonomy in the process of village head elections. The election of a village head is one form of genuine and pure village autonomy and democracy. However, with the emergence of modern states, the independence and ability of rural communities to manage their affairs have diminished. This is closely related to the decentralization that occurs in unitary states such as Indonesia. In a unitary state, one of the central matters is legal affairs. Legal matters include regulating the election of village heads, as stipulated in Minister of Home Affairs Regulation No. 112 of 2014 concerning the Election of Village Heads. This research uses a normative juridical method. The research results explain that village head elections, based on rules from the central government cascaded down to the village level, become procedural in the implementation of village head elections. In fact, these rules lead to the phenomenon of husband and wife pairs running as village head candidates in the same village to avoid having a single candidate, thereby enabling the village head election to take place. Furthermore, violations of rules regarding village head elections are common, such as instances of money politics and the lack of neutrality among village officials, but there is no legal follow-up related to these violations. Tujuan penelitian ini untuk menganalisis pelaksanaan demokrasi dan otonomi desa dalam proses pemilihan kepala desa. Pemilihan kepala desa merupakan salah satu bentuk dari otonomi dan demokrasi desa yang asli dan murni. Namun dengan munculnya negara modern, kemandirian dan kemampuan masyarakat desa untuk mengatur urusan desanya mulai berkurang. Hal tersebut tidak lepas dengan adanya desentralisasi yang terjadi di negara kesatuan seperti Indonesia. Dalam negara kesatuan salah satu urusan yang menjadi urusan pusat adalah soal hukum. Urusan hukum tersebut tidak lepas dari urusan untuk mengatur pemilihan kepala desa sebagaimana terdapat pada Permendagri No 112 Tahun 2014 tentang Pemilihan Kepala Desa. Metode penelitian ini menggunakan yuridis normatif. Hasil penelitian menjelaskan bahwa pemilihan kepala desa yang berdasarkan aturan-aturan dari pemerintah pusat yang diturunkan hingga tingkat desa menjadi prosedural dalam pelaksaan pemilihan kepala desa. Bahkan aturan tersebut menimbulkan adanya fenomena pasangan suami istri yang maju sebagai calon kepala desa di desa yang sama untuk menghindari calon tunggal sehingga pemilihan kepala desa dapat dilaksanakan. Selain itu ternyata aturan mengenai pemilihan kepala desa juga banyak terjadi pelanggaran namun tidak ada tindak lanjut hukum terkait pelanggaran tersebut. Pelanggaran tersebut antara lain adalah adanya money politics dan ketidaknetralan perangkat desa.      

Analisis sentimen digunakan untuk memahami pandangan dan pendapat masyarakat terhadap suatu hal, serta untuk mengidentifikasi tren topik pembicaraan. Dalam upaya merespon keluhan dan meningkatkan pelayanan kepada masyarakat, Dinas Pariwisata kota Solo aktif memanfaatkan berbagai platform media sosial seperti Twitter, Instagram, Facebook, web ULAS, dan Halo Mas Wali sebagai sarana komunikasi interaktif dengan masyarakat. Melalui media sosial ini, dapat mempermudah pegawai dalam proses pengumpulan sentimen masyarakat, yang nantinya akan menjadi dasar untuk menetapkan kebijakan dan strategi pembangunan. Oleh karena itu, diperlukan aplikasi analisis sentimen yang mampu mengklasifikasikan setiap tweet menjadi tiga kategori, yakni positif, netral dan negatif. Algoritma yang digunakan yaitu Naive Bayes. Naive Bayes adalah algoritma klasifikasi yang menggunakan probabilitas fitur untuk memprediksi label data, dengan asumsi fitur saling independen. Algoritma tersebut cocok untuk klasifikasi big data karena efisien pada data besar dan beragam. Hasil dari pembuatan aplikasi analisis sentimen ini adalah menunjukkan bahwa aplikasi dapat secara otomatis melabeli data menggunakan metode Naive Bayes berbasis PHP dan MySQL. Proses crawling data dari Twitter dilakukan melalui Google Colab menggunakan bahasa Python. Dalam implementasinya, aplikasi ini dapat membantu dalam melakukan klasifikasi opini masyarakat terhadap tempat wisata di kota Solo. Dilakukan pengujian validasi data untuk menguji kesamaan hasil perhitungan sistem dan manual menggunakan 3 data training dan 1 data testing yang didapatkan hasil klasifikasi data testing positif. Berdasarkan pengujian yang telah dilakukan dengan 500 data menggunakan metode naive bayes didapatkan hasil klasifikasi netral berjumlah 122 data, positif 302 data dan negatif 76 data dengan akurasi sebesar 70,2%%, presisi 67% dan recall 100%  

Along with the development of the era of globalization, the education system around the world has also undergone changes, especially regarding the learning of students. Recently, developments have started from the online learning system or E-Learning. Or have begun to change because of the increasingly growing digital platforms. Meanwhile, the e-learning industry in Indonesia has not been able to develop better. The main objective of this study is to understand the barriers to implementing e-learning in Indonesia apart from the benefits of online education, such as lower costs and pedagogical benefits. The researcher proposes an initial conceptual framework that explains the steps and intentions of students to switch to utilizing e-learning. In our future research, researchers will refine and test conceptual frameworks and provide guidelines for higher education institutions and policy makers on institutional change to support the use of e-learning.

Management of medical actions carried out in handling patients who are ODP (people under monitoring), OTG (asymptomatic people), PDP (patient under monitoring) and positive Covid-19 patients is carried out based on assumptions, such as self-isolation, hospitalization, or special treatments in the ICU (Intensive Care Unit) room. The condition of the body in each patient is different, a patient may have same symptoms but the treatment is different, especially in elderly patients. Many problems occur in determining medical action because the patient's body condition is different. Therefore, it needs to be appointed as a research. The research method used in this study was Nive Bayes algorithm with supporting application Rapid Miner. It was applied to carry out the process of testing on patient data as much as 500 data, 25 variables or patient symptoms and 3 outputs as a form of medical action. Based on the results of the analysis carried out in this study, prediction of medical actions for ODP, PDP, OTG and positive Covid-19 patients were obtained by comparing training data with testing data using Rapid Miner application. It resulted that an accuracy rate of 76.00% was obtained