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Penjadwalan Perkuliahan dengan Pendekatan Evolutionary Algorithm (Studi Kasus : Sistem Informasi Akademik (SIAKAD) Program Teknologi Informasi dan Ilmu Komputer Universitas Brwijaya) Wicaksono, Satrio Agung; Setiyawan, R. Arief; Setiyawan, Budi Darma; Hernawan, Ari; Perdana, Rizal Setya
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1, No 2 (2014)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.832 KB)

Abstrak Untuk menyusun jadwal kuliah bukanlah sesuatu yang mudah karena terkait aturan-aturan yang ada. Penjadwalan perkuliahan jika dilakukan dengan cara manual tentu saja akan memakan waktu cukup lama. Oleh karena itu pada penelitian ini mencoba untuk melakukan pendekatan menggunakan evolutionary algorithm untuk mempermudah dalam pembuatan jadwal kuliah dengan menerapkan aturan yang berlaku. Kromosom disusun dalam bentuk representasi string dengan susunan yang mewakili hari, jam perkuliahan, ruang dan gedung. Dari beberapa percobaan paremeter yang digunakan, diperoleh hasil optimal pada jumlah individu 100 dan peluang crossover sebesar 75%. Kata kunci: algoritma evolusi, algoritma genetik, penjadwalan mata kuliah. Abstract It is not an easy task to arange academic schedule because it is affected by many constraints. If this scheduling is done manually, it will consume many times. Therefore, this research tries to use the evolutionary algorithm approach to do schedulling by applying the applicable rules. Chromosomes are represented as string, which each of them consist of days, times, rooms, dan the buildings. From some experiments whisch are used in this research, optimal result obtained when use 100 individu in one population and 75% chance of crossover. Keywords: evolution algorithm, genetic algorithm, class scheduling

THE PRESENCE OF PENALTY CLAUSE UNDER EMPLOYMENT AGREEMENT Hernawan, Ari
TANJUNGPURA LAW JOURNAL Vol 2, No 1 (2018): VOLUME 2 ISSUE 1, JANUARY 2018
Publisher : Faculty of Law, Tanjungpura University

The research has the objectives of identifying and analyzing the presence of penalty clause under Employment Agreement from Employment Law perspective and identifyng as well as analyzing the implementation of penalty clause under Employment Law by Mediator on Employment within their recommendation.This is a normative and empirical research. The data is obtained from library and field research by way of document review and interview of the subject of research. The data are analyzed qualitatively while the result is presented descriptively. The result research shows that the presence of penalty clause under Employment Agreement is not regulated explicitly under Employment Law, but since one of the aspects of Employment Law is subject to Civil Law through Employment Law, the provision of Contract Law regulated under Book III of The Indonesian Civil Code remains applicable. In this regard, Civil Law must be deemed as law in general, unless otherwise determined by Employment Law. A mediatorâ€™s recommendation on Employment Law does not fully implement penalty clause which is presence in The Employment Agreement since it is considered as contradictory to the reasonableness and justice. Mediator prioritizes good faith principle over pacta sunt servanda principle in providing their recommendation.

Real-Time Human Detection Using Deep Learning on Embedded Platforms: A Review Rahmaniar, Wahyu; Hernawan, Ari
Journal of Robotics and Control (JRC) Vol 2, No 6 (2021): November (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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The detection of an object such as a human is very important for image understanding in the field of computer vision. Human detection in images can provide essential information for a wide variety of applications in intelligent systems. In this paper, human detection is carried out using deep learning that has developed rapidly and achieved extraordinary success in various object detection implementations. Recently, several embedded systems have emerged as powerful computing boards to provide high processing capabilities using the graphics processing unit (GPU). This paper aims to provide a comprehensive survey of the latest achievements in this field brought about by deep learning techniques in the embedded platforms. NVIDIA Jetson was chosen as a low power system designed to accelerate deep learning applications. This review highlights the performance of human detection models such as PedNet, multiped, SSD MobileNet V1, SSD MobileNet V2, and SSD inception V2 on edge computing. This survey aims to provide an overview of these methods and compare their performance in accuracy and computation time for real-time applications. The experimental results show that the SSD MobileNet V2 model provides the highest accuracy with the fastest computation time compared to other models in our video datasets with several scenarios.

PENERAPAN REGRESI LINEAR UNTUK PREDIKSI SUHU BADAN SAPI MENGGUNAKAN DATA SMART TERNAK DARI PT TELKOM INDONESIA: STUDI KASUS DI DESA PENGENGAT Umami, Nurul; Hernawan, Ari; Wirawan, I Gde Putu Wirarama Wedaswhara
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 6 No 2 (2024): September 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v6i2.376

Abstract West Nusa Tenggara (NTB) is one of the regions in Indonesia with significant potential in the field of livestock farming. In the context of the agricultural industry, livestock is considered a valuable asset, and monitoring their health is crucial for improving livestock productivity. This research aims to determine the relationship between the body temperature of cattle (Y) and environmental factors, namely air humidity (), environmental temperature (), and barometric pressure (), using smart livestock data provided by PT Telkom. The study was conducted in Pengengat Village, NTB, involving correlation and regression analysis. The analysis results indicate a significant positive correlation between the body temperature of cattle and environmental temperature () and a negative correlation with humidity (). Additionally, there is a strong positive correlation between the body temperature of cattle and barometric pressure (). The multiple linear regression equation obtained is as follows: = –26.816842418191094 + -0,0014707 + 0.39772325 + 0.04927779. Model testing shows excellent prediction quality with low Mean Squared Error (MSE) values (0.3849 for training and 0.4623 for testing). Furthermore, the high R-squared (R^2) values (0.7283 for training and 0.7110 for testing) indicate that the linear regression model can predict the body temperature of cattle based on the analyzed environmental factors. Keywords: Cattle Body Temperature, Smart Livestock Data, Prediction, Machine Learning, Linear Regression

HYSTERECTOMY IN PREGNANT WOMEN WITH UTERINE CANCER: AN ANALYSIS UNDER INDONESIAN HEALTH LAW AND UNESCO BIOETHICAL PRINCIPLES Novenanty, Wurianalya Maria; Innaka, R. A. Antari; Hernawan, Ari
Veritas et Justitia Vol. 11 No. 1 (2025): Veritas et Justitia
Publisher : Faculty of Law, Parahyangan Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25123/426dp460

Uterine cancer is commonly treated through hysterectomy, the surgical removal of the uterus. This research examines the legality and bioethical implications of performing a hysterectomy on a pregnant uterine cancer patient, focusing on Indonesian health law and UNESCO Universal Declaration on Bioethics and Human Rights to evaluate whether conducting a hysterectomy on a pregnant uterine cancer patient aligns with Indonesia’s health laws and bioethical principles established by UNESCO. Findings indicate that Indonesian health law does not specifically regulate hysterectomies performed on pregnant uterine cancer patients. However, the law does address abortion in cases of medical emergencies, although Law No. 1 of 2023 lacks detailed criteria for what constitutes such emergencies. Under human rights law, the right to life is non-derogable, both the mother and the fetus (if legally recognized as a child) are entitled to this right. Nonetheless, based on the principles of bioethics, particularly autonomy, beneficence, and non-maleficence, the right to life of the pregnant woman may take precedence, provided she is fully informed, mentally competent, and voluntarily consents to the procedure. In light of these considerations, it is imperative for Indonesia to enact legislation that clearly governs hysterectomy procedures for pregnant cancer patients and to define medical emergencies and the legal status of the fetus more explicitly. Such legal clarity is essential to ensure the consistent protection and promotion of human rights within the Indonesian healthcare system.

Penjadwalan Perkuliahan dengan Pendekatan Evolutionary Algorithm (Studi Kasus : Sistem Informasi Akademik (SIAKAD) Program Teknologi Informasi dan Ilmu Komputer Universitas Brwijaya) Wicaksono, Satrio Agung; Setiyawan, R. Arief; Setiyawan, Budi Darma; Hernawan, Ari; Perdana, Rizal Setya
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1 No 2: Oktober 2014
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Abstrak Untuk menyusun jadwal kuliah bukanlah sesuatu yang mudah karena terkait aturan-aturan yang ada. Penjadwalan perkuliahan jika dilakukan dengan cara manual tentu saja akan memakan waktu cukup lama. Oleh karena itu pada penelitian ini mencoba untuk melakukan pendekatan menggunakan evolutionary algorithm untuk mempermudah dalam pembuatan jadwal kuliah dengan menerapkan aturan yang berlaku. Kromosom disusun dalam bentuk representasi string dengan susunan yang mewakili hari, jam perkuliahan, ruang dan gedung. Dari beberapa percobaan paremeter yang digunakan, diperoleh hasil optimal pada jumlah individu 100 dan peluang crossover sebesar 75%. Kata kunci: algoritma evolusi, algoritma genetik, penjadwalan mata kuliah. Abstract It is not an easy task to arange academic schedule because it is affected by many constraints. If this scheduling is done manually, it will consume many times. Therefore, this research tries to use the evolutionary algorithm approach to do schedulling by applying the applicable rules. Chromosomes are represented as string, which each of them consist of days, times, rooms, dan the buildings. From some experiments whisch are used in this research, optimal result obtained when use 100 individu in one population and 75% chance of crossover. Keywords: evolution algorithm, genetic algorithm, class scheduling

HYSTERECTOMY IN PREGNANT WOMEN WITH UTERINE CANCER: AN ANALYSIS UNDER INDONESIAN HEALTH LAW AND UNESCO BIOETHICAL PRINCIPLES Novenanty, Wurianalya Maria; Innaka, R. A. Antari; Hernawan, Ari
Veritas et Justitia Vol. 11 No. 1 (2025): Veritas et Justitia
Publisher : Faculty of Law, Parahyangan Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25123/426dp460

Uterine cancer is commonly treated through hysterectomy, the surgical removal of the uterus. This research examines the legality and bioethical implications of performing a hysterectomy on a pregnant uterine cancer patient, focusing on Indonesian health law and UNESCO Universal Declaration on Bioethics and Human Rights to evaluate whether conducting a hysterectomy on a pregnant uterine cancer patient aligns with Indonesia’s health laws and bioethical principles established by UNESCO. Findings indicate that Indonesian health law does not specifically regulate hysterectomies performed on pregnant uterine cancer patients. However, the law does address abortion in cases of medical emergencies, although Law No. 1 of 2023 lacks detailed criteria for what constitutes such emergencies. Under human rights law, the right to life is non-derogable, both the mother and the fetus (if legally recognized as a child) are entitled to this right. Nonetheless, based on the principles of bioethics, particularly autonomy, beneficence, and non-maleficence, the right to life of the pregnant woman may take precedence, provided she is fully informed, mentally competent, and voluntarily consents to the procedure. In light of these considerations, it is imperative for Indonesia to enact legislation that clearly governs hysterectomy procedures for pregnant cancer patients and to define medical emergencies and the legal status of the fetus more explicitly. Such legal clarity is essential to ensure the consistent protection and promotion of human rights within the Indonesian healthcare system.

Sosialisasi Pengaplikasian Pupuk Organik Rumput Laut pada Skala Lapang untuk Mendukung terwujudnya Green Agriculture Prasedya, Eka Sunarwidhi; Ilhami, Bq Tri Khairina; Kurniawan, Nanda Sofian Hadi; Hernawan, Ari; Widyastuti, Sri; Jupri, Ahmad
Jurnal Pengabdian Magister Pendidikan IPA Vol 6 No 4 (2023): Oktober-Desember 2023
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v6i4.5232

Swasembada Pangan merupakan program pemerintah pusat yang diharapkan mampu mewujudkan ketahanan dan kemandirian pangan nasional. Untuk mencapai hal tersebut perlu didukung dengan kesiapan dan kemandirian petani selaku pelaku utama tanaman pangan. Namun, kemandirian sektor pertanian masih memiliki beberapa permasalahan terkait sarana produksi seperti kelangkaan pupuk, tidak terkecuali petani padi yang ada di Nusa Tenggara Barat (NTB). Oleh karena itu, diperlukan alternatif pupuk substitusi yang dapat mengurangi penggunaan pupuk kimia dan berkontribusi dalam mencapai pertanian berkelanjutan. Nusa Tenggara Barat merupakan salah satu daerah yang melimpah ditumbuhi berbagai jenis rumput laut. Rumput laut coklat Sargassum sp. merupakan salah satu jenis rumput laut yang banyak ditemukan dan tumbuh di perairan NTB, namun belum dimanfaatkan dengan baik oleh masyarakat. Padahal Sargassum sp. mengandung berbagai senyawa bioaktif termasuk Zat Pengatur Tumbuh (ZPT) yang berpotensi untuk dijadikan sebagai pupuk organik. Program ini dilakukan dalam bentuk sosialisasi dan demonstrasi serta pembimbingan proses aplikasi Pupuk Organik Rumput Laut (PORL). Materi sosialisasi disampaikan oleh Eka Sunarwidhi Prasedya, M.Sc., Ph.D., selaku perwakilan Pusat Unggulan IPTEK Biosains dan Bioteknologi Universitas Mataram dan Bq Tri Khairina Ilhami, S.Si., M.Si. selaku perwakilan CV. Organik Medika Biotek yang menjadi mitra dalam kegiatan ini. Materi sosialisasi yang disampaikan meliputi substansi berikut: (1) Pemanfaatan rumput laut sebagai bahan dasar pupuk organik; (2) Dampak penggunaan pupuk kimia berlebih; (3) Hubungan antara lingkungan yang berkelanjutan dan kesehatan; (4) Tahapan pembuatan PORL sederhana berbahan dasar rumput laut

Pengaruh Komitmen Manajemen, Fungsi Pengawasan dan Pengetahuan K3 Karyawan terhadap Pengendalian Tindakan Tidak Aman pada Komunitas Pekerja Pertambangan Batubara Subhan, Ahmad; Hernawan, Ari; Ahmad, Astiti Tenriawaru
Jurnal Kesehatan Komunitas Vol 11 No 3 (2025): Jurnal Kesehatan Komunitas
Publisher : Universitas Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25311/keskom.Vol11.Iss3.2370

This research uses a mixed-methods approach with a cross-sectional study design conducted in Tapin District, South Kalimantan. The research population includes 4,704 employees of PT A, with a sample of 374 respondents selected using proportionate stratified random sampling. The research instrument is a validated questionnaire that has undergone readability testing, expert validation (Aiken's V ≥0.75), and reliability testing (Cronbach's Alpha 0.884-0.931). Data analysis uses Structural Equation Modeling-Partial Least Squares (SEM-PLS) with SmartPLS 4.0.9 software. The structural model shows moderate-substantial explanatory power (R²=0.593; Q²=0.364). All three hypotheses were accepted with significance p<0.001. OHS Knowledge is the strongest predictor (β=0.331; f²=0.172 medium), followed by Management Commitment (β=0.285; f²=0.075 small) and Supervisory Function (β=0.272; f²=0.062 small). Convergence of quantitative and qualitative findings shows 50.5% of respondents emphasized OHS knowledge as the most influential factor, with 23.8% recommending priority for applicative training. Controlling unsafe actions depends more on individual competency development than organizational factors, consistent with Social Cognitive Theory. These findings have important implications for community health, as improved workplace safety can reduce accident burden on mining workers and their families. Further research is recommended using longitudinal designs to explore the long-term impact of OHS programs on community health, conducting comprehensive cost-benefit analysis, developing family safety programs models, and exploring mediation-moderation mechanisms using multilevel modeling.

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