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Inventa: Journal of Science, Technology, and Innovation
Published by CV SCRIPTA INTELEKTUAL MANDIRI
ISSN : 31233147     EISSN : 31233155     DOI : 10.65310
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Inventa: Journal of Science, Technology, and Innovation is a peer-reviewed scientific journal that focuses on the dissemination of high-quality research in the fields of science, technology, and innovation. It serves as an open platform for researchers, engineers, practitioners, and academics to publish original studies, applied research, and theoretical developments that advance scientific and technological knowledge. The journal welcomes manuscripts covering various topics, including natural and applied sciences, engineering and technology, information and communication technology, industrial innovation, renewable energy, and environmental studies. All submissions undergo a rigorous double-blind peer-review process to ensure academic integrity, originality, and scientific excellence. Inventa is published triannually in April, August, and December, promoting innovative, sustainable, and forward-looking contributions that support scientific progress and technological advancement at both national and international levels.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 69 Documents
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Analisis Losses Minyak Sawit pada Proses Pengolahan Pabrik Kelapa Sawit PT Perkebunan Nusantara IV Regional IV Unit Usaha PKS Bunut Farhan Al rasyid Nasution; Brav Deva Bernadhi
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/kacpfz45

Abstract

This study analyzes palm oil losses during the processing stages at the Palm Oil Mill of PT Perkebunan Nusantara IV Regional IV PKS Bunut. The research aimed to identify critical loss points, evaluate causal factors, and formulate operational improvement strategies to enhance processing efficiency. The study employed an empirical industrial observation approach through direct monitoring of the Fresh Fruit Bunch processing chain, including sterilization, threshing, pressing, clarification, and kernel stations. The results indicate that several loss components, particularly press cake and solid decanter losses, exceeded industrial standard limits, reflecting process inefficiencies in specific operational units. The dominant factors contributing to losses were unstable sterilization conditions, declining screw press and decanter performance, inconsistent operational control, and variability in raw material quality. The implementation of preventive maintenance, process standardization, Statistical Process Control, and Six Sigma-based monitoring is considered capable of reducing oil losses and strengthening sustainable operational efficiency in the palm oil processing industry.
Performance Analysis of Logistic Regression and SVM (Support Vector Machine) Algorithms on E-Football Mobile Game Review Sentiment Athary Zikry; Farid Akbar Siregar
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/073zdt91

Abstract

This study investigates the comparative performance of Logistic Regression and Support Vector Machine algorithms in sentiment classification of e Football mobile game reviews collected from the Google Play Store. The research employed an empirical machine learning framework involving web scraping, Natural Language Processing preprocessing, Term Frequency Inverse Document Frequency feature extraction, and supervised classification procedures. A total of 7,497 Indonesian language reviews were processed through cleaning, case folding, normalization, tokenization, stopword removal, and stemming to improve textual consistency and semantic representation. The dataset was divided into training and testing subsets using an 80:20 ratio to evaluate model generalization performance. Classification effectiveness was measured using accuracy, precision, recall, and F1 score metrics supported by confusion matrix interpretation. The findings demonstrate that Support Vector Machine achieved superior classification stability with an accuracy of 81.13% and an F1 score of 0.72, while Logistic Regression obtained an accuracy of 80.97% and an F1 score of 0.71. The results indicate that Support Vector Machine provides stronger robustness in handling high dimensional Indonesian gaming review data characterized by class imbalance and semantic variability.
Perbandingan Kinerja K-Means dan K-Medoids dalam Klasifikasi Siswa Berprestasi di SMP Muhammadiyah 60 Medan Farida Nafisa Siagian; Halim Maulana
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/tay7fq21

Abstract

This study investigates the comparative performance of the K-Means and K-Medoids clustering algorithms in classifying student achievement at SMP Muhammadiyah 60 Medan. The research applies a quantitative data mining approach using academic and non-academic variables, including Mathematics scores, Science scores, Bahasa Indonesia scores, attendance records, and extracurricular participation. Data preprocessing was conducted through cleaning, normalization using Min-Max Scaling, and feature selection to ensure data consistency and analytical reliability. The findings indicate that both algorithms successfully classified students into meaningful performance groups with consistent clustering structures. K-Means demonstrated superior computational efficiency and lower SSE values, making it suitable for homogeneous datasets. In contrast, K-Medoids exhibited greater robustness against outliers and produced more stable cluster distributions. The study concludes that K-Medoids provides more representative clustering results for educational datasets characterized by heterogeneous performance patterns.
Analisis dan Implementasi Algoritma Apriori dalam Memprediksi Banjir di Kota Medan pada Bendungan Lau Simeme Zahra Apriyani Hakim Nasution; Mulkan Azhari
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/4cn1ym72

Abstract

This study aims to analyze and implement the Apriori algorithm to predict flood potential at the Lau Simeme Dam in Medan City by identifying association patterns among rainfall, water discharge, and water level parameters based on daily hydrological data. The main challenge of this study lies in the limitations of conventional mitigation systems, which are not yet capable of systematically and adaptively interpreting multivariate environmental relationships. The research method employs an empirical data mining-based approach, involving data preprocessing, numerical transformation into transactional data, frequent item set formation, and association rule derivation using minimum support and confidence parameters. The system was developed using Python and MySQL to support the operational analysis and visualization of prediction results. The results show that the Apriori algorithm is capable of generating consistent association patterns between heavy rainfall, increased water discharge, and flood alert status with an accuracy of 97.81%, precision of 100%, and recall of 97.81%. These findings indicate that association rule-based models possess interpretive and predictive capabilities relevant to supporting flood mitigation based on hydrological data.
Peran Pemerintah dalam Pengembangan Sistem Penyediaan Air Minum (SPAM) Berbasis Pembangunan Berkelanjutan: Kajian Literatur Minson Simatupang; La Ode Ichwan Sjachrawy; Abdul Kadir; Try Sugiyarto Soeparyanto
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/whvbh332

Abstract

This study aims to analyze the government’s role in the development of a drinking water supply system based on sustainable development through a literature review. The method used is a narrative integrative review with thematic synthesis of reputable national and international journals discussing drinking water governance, public policy, and infrastructure sustainability. The results of the study indicate that the government’s role encompasses regulatory functions, institutional strengthening, and facilitating multi-stakeholder collaboration in the provision of drinking water services. The sustainability of the WSS is influenced by policy synchronization, financing effectiveness, community participation, and technological innovations in water distribution. The findings also indicate implementation gaps resulting from weak planning integration and limited institutional capacity at the local level. This study emphasizes that WSS development depends not only on physical infrastructure but also on adaptive and collaborative governance. This research makes a conceptual contribution to strengthening a sustainability-based WSS governance model and offers an analytical framework for the development of more integrated drinking water policies.
Penguatan Kapasitas SDM dalam Implementasi Prinsip Environmental, Social, and Governance (ESG) pada Sektor Pertambangan: Suatu  Kajian Literatur Faisal Muchtasar
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/ezf2xa12

Abstract

The mining sector faces global demands to integrate Environmental, Social, and Governance principles into all operational processes to support the industry’s sustainability. This study aims to analyze the strengthening of human resource capacity in the implementation of ESG in the mining sector through a systematic literature review using a conceptual-interpretive approach. The method employed involves a critical thematic synthesis of various reputable scientific sources to identify the relationship between human resource competencies, governance, and technological innovation. The results indicate that the success of ESG implementation is highly dependent on the quality of human resources possessing sustainability literacy, digital adaptability, and risk-based managerial competencies. The main weaknesses lie in fragmented governance, limited training, and low technology integration in HR management. Strengthening HR capacity through training, innovation, and green human resource management are key factors in accelerating the transformation toward a sustainable mining industry. This study provides a conceptual contribution toward building an integrative model between HR and ESG in the extractive sector.  
Pengaruh Variasi pH HCL dalam Pengasaman Montmorillonit Terhadap Hasil Bleaching Crude Palm Oil Tiara Fatika Sari; Riri Jonuarti
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/hjv1kg76

Abstract

Crude Palm Oil (CPO) requires a bleaching process to reduce pigments and free fatty acids (FFA). Montmorillonite as an adsorbent needs acid activation to improve its adsorption capacity. This study aimed to investigate the effect of HCl activation at pH 2, 4, and 6 on the surface morphology of montmorillonite as characterized by Scanning Electron Microscopy (SEM) and its influence on CPO bleaching efficiency. Acid activation was performed using 0.01 M HCl with a slurry titration method. Particle size analysis was conducted using ImageJ software with the length parameter. Results showed that unactivated montmorillonite had a mean particle length of 1054.54 nm with dense and agglomerated morphology. Activation at pH 4 produced the most homogeneous particle distribution with a mean length of 1635.57 nm and a more open surface structure. Bleaching analysis demonstrated that montmorillonite activated at pH 4 generated the lowest FFA content of 1.4% compared to pH 2 and pH 6. These findings indicate that pH 4 activation provides the optimum balance between structural stability, pore opening, and adsorption effectiveness for CPO bleaching.    
Pengaruh Pelapisan Kaolin Pada Titanium Dioksida (TiO2) dan Zinc Oksida (ZnO) Terhadap Aktivitas Fotokatalitik Lapisan Tipis Okta Khairina; Riri Jonuarti
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/zmkk4495

Abstract

Titanium dioxide (TiO₂) and zinc oxide (ZnO) are widely applied as broad-spectrum ultraviolet protective agents; however, nanoscale modification that improves optical transparency may simultaneously increase photocatalytic activity and reactive oxygen species (ROS) generation. This study investigated the effect of kaolin coating on the photocatalytic behavior of TiO₂ and ZnO thin films fabricated through spin coating. Nanoparticles were reduced to sizes below 150 nm using high-energy ball milling and deposited into sandwich-structured nano-kaolin/TiO₂ and nano-kaolin/ZnO films with weight ratios of 0%:100% and 50%:50%. Photocatalytic performance was evaluated through methylene blue degradation under ultraviolet irradiation for 5 h at 664 nm. Pure TiO₂ and ZnO exhibited high photocatalytic degradation efficiencies of 72.77% and 68.51%, respectively. Incorporation of 50% kaolin significantly reduced degradation efficiencies to 22.10% for TiO₂/kaolin and 23.69% for ZnO/kaolin. Kaolin contributed to initial physical adsorption while suppressing ROS formation through active-site coverage and controlled charge-transfer pathways. The resulting sandwich-structured thin films demonstrated improved optical stability, reduced photocatalytic aggressiveness, and promising potential as multifunctional UV-protective nanomaterials for safer sunscreen-related applications.    
Pengaruh Jenis Asam Mineral Pada Sintesis Acid Activated Montmorillonite Terhadap Struktur, Morfologi, dan Performa Bleaching Earth Hanifah Sriamelia; Riri Jonuarti
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/qjnaem59

Abstract

Montmorillonite (MMT) is a clay mineral belonging to the smectite group, characterized by a large surface area, high cation exchange capacity, and a layered structure, making it a promising bleaching earth for palm oil refining. However, natural montmorillonite exhibits limitations, including a low number of active sites and limited porosity, thus requiring acid activation to enhance its performance. This study aims to analyze the effect of different mineral acids on the crystal structure, morphology, and bleaching performance of acid-activated montmorillonite. Activation was carried out using HCl, H₂SO₄, HNO₃, and H₃PO₄ at a concentration of 1 M for 3 hours. Characterization was conducted using X-ray diffraction (XRD) to determine crystallinity, scanning electron microscopy (SEM) to observe surface morphology, and UV–Vis spectrophotometry to evaluate bleaching performance. The XRD results revealed that sulfuric acid produced the largest crystal size (78.8 nm) with the highest degree of homogeneity. Activation with HCl resulted in a crystal size of 64.5 nm, H₃PO₄ yielded 68.3 nm, and HNO₃ produced 68.5 nm. SEM analysis showed the formation of new pores and a rougher surface texture after activation. HCl activation yielded the most favorable surface morphology. Bleaching tests demonstrated a significant reduction in color intensity and β-carotene content in palm oil.  

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