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Exploratory Research on the Use of Energy Recovery Technology in Sewage Treatment in Indonesia Irdam, Irdam; Armus, Rakhmad; Tahir, Abdul; Kushariyadi, Kushariyadi; Karyasa, Tungga Bhimadi
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.596

Abstract

This research delves into the integration of Energy Recovery Technology (ERT) within sewage treatment processes in Indonesia, addressing the imperative for sustainable wastewater management amid rapid population growth and urbanization. Through a comprehensive investigation encompassing technological, economic, and environmental dimensions, the study identifies challenges, evaluates the feasibility of ERT integration, and bridges critical gaps in the existing literature. The potential synergy between wastewater treatment and energy recovery aligns with Indonesia's commitment to sustainable development. The findings serve as a catalyst for innovative sewage treatment approaches, contributing to a paradigm shift in Indonesia's wastewater management practices. The accompanying bibliometric analysis provides a detailed overview of the academic landscape, key contributors, and impactful studies, enhancing the study's depth and practical implications.
Assesment of Environment Impact of Contribution Project: Toward Green Building Certification and Compliance Simon Parekke; Abdul Tahir; Tri Satriawansyah; Muhammad Ade Kurnia Harahap; Dewanto
Indonesia Journal of Engineering and Education Technology (IJEET) Vol. 2 No. 2 (2024): Indonesia Journal of Engineering and Education Technology (IJEET)
Publisher : AKADEMI TEKNIK ADI KARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61991/ijeet.v2i2.51

Abstract

This study aims to assess the environmental impact of a contributing project in the context of building certification and compliance with qualitative data through literature analysis and documentation and Milles & Huberman model analysis techniques. The findings from the study are expected to provide valuable insights into the environmental implications of the project, highlighting areas for improvement and opportunities to improve sustainability. The results will be crucial in informing policy decisions and guiding future initiatives in the field of green building, ultimately contributing to a more environmentally conscious and environmentally responsible development sector.
Application of Holt-Winter Exponential Smoothing Method to Design a Drug Inventory Prediction Application in Private Health Units Octiva, Cut Susan; Israkwaty; Nuryanto, Uli Wildan; Eldo, Handry; Tahir, Abdul
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.464

Abstract

This research aims to see how to design a drug supply prediction application using the Holt-Winter Exponential Smoothing method. The collection methods used in the research are as follows: observation, interviews. The prototyping system development method includes several important stages in designing research applications. The first stage is communication. After that, the Quick Plan stage. Construction of prototype stages. The final stage, deployment delivery and feedback, is the phase of system use by users. In addition, the team also conducts regular system maintenance to ensure optimal performance. These stages together form an iterative process for developing research applications using the prototyping method. Based on the research results, it was found that the test results for the drugs amoxicillin, cefixime, paracetamol, and CTM showed that the MAPE value was less than 10% for these four drugs, which means that the predictive value has quite high accuracy. So it can be concluded that the Holt Winter Exponential Smoothing algorithm can be well implemented to predict drug supplies.
Application of Forward Chaining and Rule-Based Reasoning Methods to Design an Expert System for Pregnant Women Disease Diagnosis in a Private Hospital Tahir, Abdul; Hendriyanto, Donny; Faizah, Ana; Anshory, Jamil; Harun, Rofiq
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.480

Abstract

This research aims to discover how to create and implement an expert system for prenatal disease diagnosis. To prepare this study, the author employed several data collection techniques, including observation, interviews, and a literature review. The system to be designed was developed using an object-oriented paradigm and a Rapid Application Development (RAD) technique. Multiple development stages are involved in creating RAD, including requirement planning, workshop design, and implementation. Based on the study findings, it was discovered that the PHP programming language, MySQL database management system, Apache web server, UML tool, and RAD system development methodology were used to create an expert system for identifying illnesses in expectant mothers. The forward chaining method is used for this expert system, where the first stages are to create an inference tree and set rules. This system likewise computes the consistency test using the Bayes theorem method. With an 80% accuracy rate, SISPADIBU can be used as a diagnostic tool for disorders related to pregnancy. SISPADIBU can use the user-entered symptoms to present the diagnosis results. According to the survey results, 80% of users said that SISPADIBU was highly user-friendly, that the layout display was simple to use, and that it was constructive in educating users about pregnancy disorders.
REKONDISI MESIN-MESIN TTG GUNA MENINGKATKAN KAPASITAS PRODUKSI ANEKA KRIPIK DI UMKM “TIA MELATI” KABUPATEN LUWU TIMUR, SULAWESI SELATAN Harman, Harman
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 30, No 1 (2024): JANUARI-MARET
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v30i1.50107

Abstract

Micro business called UMKM is currently considered an effective means of alleviating poverty because it can create sizable job opportunities for domestic workers, thus greatly assisting the government in reducing unemployment. This has become the concern of the government in several regions. The local government has disbursed several budgets to provide Appropriate Technology (TTG) machines for UMKM actors. However, UMKM actors face many obstacles when they receive machine assistance from the government. The unpreparedness of human resources causes technology transfer not to work. It is not uncommon for beneficiaries to have only junior high school to elementary school education. Meanwhile, TTG machines are prone to damage if they are not cared for properly, so many machines end up badly damaged, and their owners cannot repair them. UMKMs, as the chosen activity partner, are TIA MELATI. This selection is based on visits to Partner locations, and information is obtained that the Partner's production decline is due to the damaged TTG machines that are owned but need the ability to make improvements both in terms of knowledge and from a cost standpoint. This activity aims to assist UMKM players in East Luwu to increase production capacity and expand the reach of product marketing to increase production, which impacts the welfare of its members. The results are that TTG machines owned by partners can function again so that production increases, as well as increased knowledge and ability to maintain and repair TTG machines owned.
Analisis Komputasional Pola Pelanggaran Mahasiswa Lingkungan Pendidikan Akademi Teknik Vokasi Abdul Tahir; Jasman Jasman
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.5898

Abstract

This study analyzed the pattern of student violations at the Vocational Engineering Academy with a total of 5,901 recorded cases. The purpose of the study was to identify the distribution, temporal trends, and factors influencing violations, as well as formulate policy recommendations. The method used is descriptive-quantitative analysis with secondary data, including frequency analysis, categorization, correlation, and visualization using Python (Pandas, NumPy, Matplotlib, Seaborn). The results showed the dominance of verbal violations (85.5%) compared to written violations (14.5%), with the most categories being Other (43.6%), Assignments/Reports (23.9%), and Delays (21.6%). Temporal analysis revealed a pattern of student adaptation: violations were high in the early semester (especially equipment breakdowns and Other categories), decreased in the middle semester, but delays increased in the final semester due to academic load. Other findings showed low violations of Rules of Conduct (6.6%) and Equipment Damage (4.3%), reflecting relatively controlled non-academic discipline. The implications of the study highlight the need for a multi-tiered coaching system, improved task management, digital presence, and revision of breach categorization for data accuracy. Recommendations include the development of an integrated task management platform, academic mentoring programs, time management workshops, and data-driven policy evaluations. This research provides an empirical basis for institutions to design effective violation prevention strategies, especially through preventive approaches and real-time monitoring systems.
Do Enterprise Risk Management Disclosure and Intellectual Capital Disclosure Contribute to Firm Value? Ari Purwati; Abdul Tahir
Journal of Economics, Entrepreneurship, Management Business and Accounting Vol 1 No 3 (2023): Volume 1, Issue 3, September 2023
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jeemba.v1i3.166

Abstract

This study aims to determine the effect on the value of mining companies listed on the Indonesia Stock Exchange (IDX) from the aspect of disclosure of enterprise risk management and disclosure of intellectual capital. The variables that are the focus of this study are the disclosure of enterprise risk management (X1) and intellectual capital disclosure (X2), which are measured using the enterprise risk management disclosure index and intellectual capital disclosure index. Meanwhile, firm value (Y), which is measured using Tobin's Q, acts as the dependent variable in this analysis. The sample of this study was selected through purposive sampling technique, so that there were 32 mining companies that became the sample of the study. The data used in this study were obtained through data collection techniques in the form of documentation. Then, this data is analyzed using data analysis techniques which include classical assumption tests, multiple linear regression tests, and hypothesis testing. The results showed that individually, the disclosure of enterprise risk management practices has a negative impact on firm value, while the disclosure of intellectual capital has a positive impact on the value of mining companies listed on the Indonesia Stock Exchange in 2022. Together, the disclosure of enterprise risk management practices and the disclosure of intellectual capital have a positive impact on the value of the same company in the same year.