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All Journal Bulletin of Electrical Engineering and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Building of Informatics, Technology and Science Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Teknik Informatika (JUTIF) Journal Social Science And Technology For Community Service Jurnal Ilmiah Informatika dan Ilmu Komputer CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Jurnal Informatika dan Rekayasa Perangkat Lunak
Sitna Hajar Hadad
Akademi Ilmu Komputer Ternate
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Evaluation of Salesperson Performance in the Sales Allowance Decision Support System Using the MARCOS and PIPRECIA Methods Sitna Hajar Hadad; Abhishek R Metha; Setiawansyah Setiawansyah; Heni Sulistiani
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4863

Abstract

Optimal salesperson performance is the main key to a company's success in achieving sales targets and business growth. A reliable salesperson is not only able to sell products or services, but also has the ability to build strong relationships with customers. The purpose of this study is to assess the performance of salesperson in providing sales allowances based on performance results carried out by applying a combination of MARCOS and PIPRECIA methods, so as to produce a recommendation for the final assessment of salesperson performance that will assist the company in providing sales benefits to salespersons. The combination of Pairwise Relative Criteria Importance Assessment (PIPRECIA) and Measurement of Alternatives and Ranking According to Compromise Solution (MARCOS) forms a powerful holistic approach to decision making. PRCIA facilitates the identification and assessment of the relative weights of each decision criterion, providing a solid foundation for assigning value to the relative importance between criteria. The results of the salesperson performance evaluation ranking above show the final results for rank 1 with a value of 4.3446 obtained by Rini, rank 2 with a value of 3.5369 obtained by Murniasih, rank 3 with a value of 3.1807 obtained by Hana Ferbi.
COMBINATION OF LOGARITHMIC PERCENTAGE CHANGE-DRIVEN OBJECTIVE WEIGHTING AND MULTI-ATTRIBUTIVE IDEAL-REAL COMPARATIVE ANALYSIS IN DETERMINING THE BEST PRODUCTION EMPLOYEES Sitna Hajar Hadad; Subhan Subhan; Setiawansyah Setiawansyah; Muhammad Waqas Arshad; Aditia Yudhistira; Yuri Rahmanto
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2057

Abstract

The problem that occurs in the selection of the best production employees is the lack of transparency and objectivity in the selection process. Without clear procedures and well-defined criteria, employee selection decisions can be influenced by subjective preferences or irrelevant non-performance factors. This can result in injustice in employee selection and lower the morale and motivation of unselected employees. The purpose of the combination of LOPCOW and MAIRCA in determining the best production employees is to provide a holistic and adaptive framework in the employee performance evaluation process. LOPCOW allows decision makers to dynamically adjust the weight of criteria according to the level of volatility or change in the relevant environment or situation. LOPCOW offers an adaptive and responsive approach in determining the weight of criteria, enabling decision makers to respond quickly to changes occurring in the relevant environment or situation. MAIRCA is an analytical method used to assist decision makers in evaluating and selecting alternatives based on several relevant criteria or attributes. MAIRCA provides a strong framework for decision makers to make more informed and informed decisions. Combining these two methods results in a more comprehensive and accurate understanding of production employee performance, thus enabling managers to identify the most effective employees and provide rewards or development accordingly. The final results of the ranking of the best production employees obtained by JR employees get 1st place, YP employees get 2nd place, and AJL employees get 3rd place.
Sosialisasi dan Pendampingan sebagai Upaya Peningkatan Kualitas Pemilih untuk Meningkatkan Efisiensi dan Efektivitas Pemilihan Kepala Daerah Sitna Hajar Hadad; Radina Hamza Hairun; Nurnela Nurnela
Journal of Social Sciences and Technology for Community Service (JSSTCS) Vol 5, No 1 (2024): Volume 5, Nomor 1, March 2024
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jsstcs.v5i1.4095

Abstract

Regional elections are a democratic process that provides an opportunity for the people of a region to directly elect their leaders. This process is an important milestone in a country's political system at the local level, where voters have the power to choose figures deemed capable of representing and leading their region towards better progress and prosperity. Assistance in regional elections is a strategic effort to improve the quality of voters with the ultimate goal of increasing the efficiency and effectiveness of the entire election process. The results of the level of understanding of the activities that took place in the Bimtek activities for regional head elections showed a positive impact in improving participants' understanding and skills related to the regional head election process. Based on the evaluation conducted, the results showed a significant improvement in participants' understanding of various aspects of the election, including legal procedures, implementation techniques, supervision, and dispute resolution. Bimtek participants showed an increased clear understanding of their roles and responsibilities in regional elections. They become more skilled in planning and managing the electoral process, including logistical arrangements, voting procedures, and reporting results.
Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Menggunakan Kombinasi Metode Pembobotan MEREC dan Simple Additive Weighting Chandra, Iryanto; Hadad, Sitna Hajar
Building of Informatics, Technology and Science (BITS) Vol 6 No 1 (2024): June 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i1.5360

Abstract

The selection of the best employees is an event that aims to appreciate and recognize the extraordinary performance of employees in a company. The implementation of the selection of the best employees is not without challenges and problems, one of the main problems is the risk of subjectivity in the assessment process, which can cause dissatisfaction among other employees if they feel that the assessment is unfair or transparent. The purpose of this study is to develop an SPK that can help in the selection of the best employees by using a combination of MEREC and SAW methods, a MEREC approach to manage and evaluate important criteria in employee selection, and integrate SAW as a mathematical method to provide weight and ranking candidates based on predetermined criteria. The recommendation for the results of the selection of the first best employee with a final SAW score of 0.8345 was obtained by Candidate 8, the second best employee with a final SAW score of 0.8253 was obtained by Candidate 6, and the third best employee with a final SAW score of 0.8068 was obtained by Candidate 3.
Employing PIPRECIA-S weighting with MABAC: a strategy for identifying organizational leadership elections Setiawansyah, Setiawansyah; Hadad, Sitna Hajar; Aldino, Ahmad Ari; Palupiningsih, Pritasari; Fitri Laxmi, Gibtha; Megawaty, Dyah Ayu
Bulletin of Electrical Engineering and Informatics Vol 13, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i6.7713

Abstract

The election of organizational leaders, especially in organizations whose members have diverse backgrounds and interests, can cause various problems. Problems in the selection of school organization leaders include the absence of an objective selection of organizational leadership candidates because they are selected based on comparisons between candidates without considering the criteria in the selection of organizational leadership candidates. Research related to the multi-attributive border approximation area comparison (MABAC) and simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) methods has never been conducted so far, so it is a reference in conducting this research using the MABAC and PIPRECIA-S methods. This study aims to select the head of the school organization using the MABAC method and PIPRECIA-S weighting can increase the objectivity of the criteria assessment results by relying on calculations from the PIPRECIA-S weighting method. Based on the selection results using the MABAC method and PIPRECIA-S weighting, candidate 1 was recommended as the leader of the school organization because it achieved rank 1 with a total score of 0.293. The contribution of this research is to help in the selection of the head of the organization using the PIPRECIA-S and MABAC methods as a decision-making solution.
Analisis Prioritas Pemberian Cuti Karyawan Menggunakan Metode Pembobotan Entropy dan Simple Multi Attribute Rating Technique Hadad, Sitna Hajar
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 2 (2024): Volume 2 Number 2 June 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i2.126

Abstract

Employee leave is a right given to employees to take free time or vacation without reducing salary or wages. This leave is important to maintain the health and well-being of employees, as well as to ensure that employees can feel valued and given the opportunity to live free time or vacation. Prioritizing employee leave is often a challenge, especially when there are many leave applications submitted simultaneously. The purpose of this study is to develop a system or model that can assist managers or human resources departments in making more informed and structured decisions regarding the provision of leave to employees. Using entropy and SMART weighting methods, this study helps to assess and give weight to the criteria that influence the priority of granting leave. The ranking results showed results, namely rank 1 in the provision of employee leave with a value of 0.8449 obtained by Employee 6, rank 2 in the provision of employee leave with a value of 0.8061 obtained by Employee 1, rank 3 in the provision of employee leave with a value of 0.5442 obtained by Employee 2, rank 4 in the provision of employee leave with a value of 0.465 obtained by Employee 3 and Employee 5, and 4th place in the provision of employee leave with a value of 0.0581 obtained by Employee 4. The results of this ranking become a recommendation for companies in setting leave priorities for existing employees, thus assisting company stakeholders in making decisions based on the results of recommendations carefully.
Penerapan Teknologi IoT dan Ragam Sensor Dalam Sistem Monitoring Gelombang Laut sebagai Peringatan Dini Hadad, Sitna Hajar; Safi, Mudar; Turuy, Seh; Rumaf, Nurdin; Ismail, Risandi J
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6234

Abstract

North Maluku has an archipelago so that community activities are mostly related to the sea, such as fishermen and people who use sea routes as a mode of transportation. Uncertain weather conditions resulting in heavy rainfall and high sea waves can threaten the safety of the community, especially the fishing community and people who use sea transportation modes. As happened some time ago, namely the sinking of KM Cahaya Arafa. KM Cahaya Arafa sank because it was hit by high sea waves so that it had an accident, namely drowning in the waters of Tokaka Village, South Halmahera Regency, North Maluku Province which resulted in the death of dozens of people. The purpose of this research is to apply IoT Technology and Various Sensors to design a Sea Wave Monitoring System as an Early Warning on Marine Transportation Modes which if bad weather occurs can threaten safety when doing activities at sea. The monitoring system prototype was developed to provide early information on the high danger of sea waves both through sound, sirens, and widely accessed using mobile phones and the internet. The test results of the IoT-based sea wave notification system show that this technology is effective in detecting certain wave heights, ranging from half a meter to two meters, and providing early warning quickly and accurately. The sensors integrated in the system are capable of measuring changes in wave height with high precision, and IoT technology enables stable data transmission to various communication platforms, including mobile apps and instant messaging systems. With the ability to detect various wave heights, this system can be a reliable and efficient disaster mitigation tool, and can be further developed to support better preparedness for coastal communities against the potential threat of high waves and tsunamis.
Combination of PIPRECIA and Multi-Attributive Ideal-Real Comparative Analysis for the Determination of Scholarship Students Hadad, Sitna Hajar; Chandra, Iryanto; Maryana, Sufiatul; Setiawansyah, Setiawansyah
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6313

Abstract

Scholarships are a form of financial assistance given to individuals to support their education. Criteria considered in the determination of scholarship recipients may include academic achievement, special talents, financial need, participation in extracurricular activities, and potential contributions to the community. The combination of weighting using PIPRECIA and MAIRCA can be a powerful approach in determining scholarship recipients. With PIPRECIA, scholarship providers can gather preferences from various relevant parties to determine the relative weight of each evaluation criterion. Furthermore, by applying MAIRCA, scholarship recipients can be evaluated based on these criteria by comparing between ideal attributes that reflect expected standards with real attributes that reflect the actual conditions of each recipient. By integrating these two methods, the process of determining scholarship recipients becomes more structured, transparent, and takes into account diverse preferences and priorities, ensuring that aid is distributed to the most deserving and needy individuals. The results of alternative rankings in determining scholarship recipients are 1st place with a final score of 0.071 obtained on behalf of Yusuf Maqdis, 2nd place with a final score of 0.068 obtained on behalf of Kurniawansyah, and 3rd place with a final score of 0.062 obtained on behalf of Ketut Purwanti.
DYNAMIC WEIGHT ALLOCATION IN MODIFIED MULTI-ATRIBUTIVE IDEAL-REAL COMPARATIVE ANALYSIS WITH SYMMETRY POINT FOR REAL-TIME DECISION SUPPORT Hadad, Sitna Hajar; Chandra, Iryanto; Wang, Junhai; Megawaty, Dyah Ayu; Setiawansyah, Setiawansyah; Yudhistira, Aditia
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.4170

Abstract

Decision Support Systems (DSS) have a crucial role in real-time decision-making, especially in the digital era that demands high speed and accuracy. Managing criterion weights in a dynamic environment presents significant challenges due to rapid and unpredictable changes in conditions. However, determining an accurate weight becomes difficult due to uncertainty, incomplete data, and subjective factors from decision-makers. In addition, changes in the external environment, such as market trends, regulations, or customer preferences, can affect the relevance of each criterion, thus requiring a real-time weight adjustment mechanism. The purpose of this study is to develop and explore the dynamic weight allocation method in symmetry point- multi-attributive ideal-real comparative analysis (S-MAIRCA) to support more accurate and responsive real-time decision-making in a dynamic environment. This research contributes to the understanding of how the weights of criteria can be adjusted automatically and responsively to changing conditions or new data, which increases the relevance and accuracy of decisions in a dynamic environment. The urgency of S-MAIRCA research is important because it often involves real-time, dynamic, and complex data. This development not only improves the adaptability of the S-MAIRCA method, but also contributes significantly to creating computer science-based applications that are more intelligent, flexible, and relevant to the evolving needs of the system. The results of the alternative ranking comparison using the CRITIC-MAIRCA, LOPCOW-MAIRCA, ROC-MAIRCA, and S-MAIRCA methods showed variations in the ranking order generated for each alternative using spearman correlation. The results of the correlation value of CRITIC-MAIRCA and LOPCOW-MAIRCA have a very high correlation of 0.993, which shows that these two methods provide almost identical rankings in alternative evaluation. Likewise, CRITIC-MAIRCA and S-MAIRCA had a high correlation of 0.979, signaling a strong similarity in ranking results despite slight differences in the approaches used by the two methods. The results of the application of the MAIRCA-S method in the development of DSS based on real-time data have a significant impact on improving the speed, accuracy, and adaptability of decisions. MAIRCA-S strengthens the validity of decision results by considering a variety of attributes on a more comprehensive scale, providing added value in the development of DSS for various industrial sectors.
Rancang Bangun Sistem Rekomendasi Obyek Wisata Menggunakan Metode Algoritme vfi5 (Voting Feature Interval-5) Hadad, Sitna Hajar
PROtek : Jurnal Ilmiah Teknik Elektro Vol 4, No 2 (2017): PRotek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v4i2.395

Abstract

Informasi obyek wisata mengandung berbagai aspek yang terkait dengan layanan yang akan diterima oleh calon wisatawan, seperti kelengkapan fasilitasi kunjungan, kemudahan akses obyek wisata, dan lain sebagainya. Oleh karena itu, pada penelitian ini metode algoritme VFI5 diterapkan dalam membangun sistem rekomendasi pariwisata (obyek wisata) untuk menangani aspek-aspek yang terkait dalam penilaian obyek wisata. Dari hasil analisis algoritme VFI5 didapatkan karakteristik algoritme tersebut dalam menghasilkan rekomendasi obyek wisata.Hasil evaluasi sistem, dengan uji banding perhitungan menunjukan bahwa algoritme VFI5 dapat memberikan nilai prediksi yang sesuai untuk direkomendasikan. Untuk hasil evaluasi pengguna atau web aplikasi ini menunjukan nilai kebergunaanya (usability) untuk mengetahui nilai penerimaan dari pengguna. Hasil pengujian tersebut menunjukan bahwa aplikasi yang dibangun memiliki nilai rata-rata penerimaan dari pengguna sebesar 4. Nilai tersebut menunjukan bahwa aplikasi cukup mudah digunakan.
Co-Authors A. Thais, Iswan Abdullah, Muksin Hi Abhishek R Mehta Abhishek R Metha Abjan Samad Abjan Samad Aditia Yudhistira Ahmad Ari Aldino Ahmad Ari Aldino Ambarita, Arisandy Arie Qur’ania Asistyasari, Ayuni Chandra, Iryanto Dedi Darwis Gibtha Fitri Laxmi Heni Sulistiani Ibrahim, Adelina Ismail, Risandi J Iswan A. Thais Julkifli Muksin Kasmawati . Megawaty, Dyah Ayu Moch Teguh Priyanto Mudar Safi Muhammad Waqas Arshad Muksin Hi Abdullah Munawir A. Hi Musa Nurnela Nurnela Nurnela Nuryaman, Yosep Palupiningsih, Pritasari Radina Hamza Hairun Rumaf, Nurdin Safi, Mudar Setiawansyah Setiawansyah Subhan Subhan Sufiatul Maryana Turuy, Seh Wang, Junhai Yuri Rahmanto