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All Journal Desimal: Jurnal Matematika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Saintek Lahan Kering Jurnal Varian JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Bakti Cendana: Jurnal Pengabdian Masyarakat Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Jurnal Diferensial Prosiding Konferensi Nasional PKM-CSR VARIANSI: Journal of Statistics and Its Application on Teaching and Research Mathematical Journal of Modelling and Forecasting Journal of Mathematics Theory and Applications
Mada, Grandianus Seda
Program Studi Matematika, Fakultas Pertanian, Universitas Timor
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PRE-ECLAMPSIA DIAGNOSIS EXPERT SYSTEM USING FUZZY INFERENCE SYSTEM MAMDANI Siprianus Septian Manek; Grandianus Seda Mada; Yoseph P.K. Kelen
Jurnal Techno Nusa Mandiri Vol 20 No 2 (2023): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i2.4622

Abstract

Various institutions utilize computer information systems to analyze and process data. An expert system is an information system that is used to help analyze and determine decisions on a problem based on rules determined by experts. This research focuses on creating a prototype expert system for diagnosing pre-eclampsia or pregnancy poisoning in pregnant women based on measuring blood pressure and checking proteinuria. The existing data is then analyzed using the Mamdani system's fuzzy inference method. Supporting theory regarding the fuzzy inference system of Mamdani, pre-eclampsia and its examination indicators will be used as a basis for creating this expert system prototype. The data used were secondary data on preeclampsia patients in the form of medical records of blood pressure measurements, proteinuria examinations and doctor diagnoses of preeclampsia patients at two Regional General Hospitals (RSUD), namely Atambua and Kefamenanu, totaling 20 samples. The interface or user interface of this prototype system is made as simple as possible so that it can be operated by all ordinary people. The programming language used is Visual Basic (VB) with the Visual Studio 2010 developer application. The initial prototype of this system will continue to be developed until it can become a Information systems or real applications used in hospitals. The results of this research are that the expert system for diagnosing preeclampsia can be used well and easily by hospital staff and show congruence between the system diagnosis results and the diagnosis results from obstetricians or experts in the 20 processed data.
Application of Mamdani’s Fuzzy Inference System in the Diagnosis of Pre-eclampsia Grandianus Seda Mada; Maria Julieta Esperanca Naibili; Siprianus Septian Manek; Estevania Daonce Mau; Wasim Raza
Jurnal Varian Vol 7 No 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v7i1.2764

Abstract

Pre-eclampsia is the second of the top three causes of death in pregnant women after bleeding and followed by infection. By knowing the risk factors, early detection of pre-eclampsia in pregnant women needs to be done so that later it can be treated more quickly to prevent further complications. This study aims to design a practical application of a decision-making system for the diagnosis of pre-eclampsia in pregnant women using the Fuzzy Inference System (FIS) method so it can be used efficiently and effectively for the early diagnosis of pre-eclampsia. The method used in data analysis is the FIS Mamdani method with defuzzification using the centroid method. The designed system considers blood pressure and proteinuria as input variables and pre-eclampsia status as output variables. The research results show that the system has 7.27% of Mean Absolute Percentage Error (MAPE) value and when comparing the final diagnosis of the system and expert diagnoses (doctors) from 20 patients at two hospitals, it was found that the system diagnosis was 100% in accordance with the expert diagnoses.
Education of making and distribution of betel leaves hand sanitizers to kefamenanu Pasar Baru sellers Grandianus Seda Mada; Marselina Theresia Djue Tea; Lukas Pardosi; Welsiliana; Dira Asri Pramita; Matius Stefanus Batu; Desta Gloria Siahaan
ABDIMAS TALENTA: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2020): ABDIMAS TALENTA : Jurnal Pengabdian Kepada Masyarakat
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.895 KB) | DOI: 10.32734/abdimastalenta.v5i2.4307

Abstract

The business’ level, lack of knowledge about the making process and use of hand sanitizers from natural ingredients caused sellers in Pasar Baru Kefamenanu do not apply the health protocols during transactions with buyers. Therefore, there needs to be educated about natural ingredients that can be used as hand sanitizers, the making process, and how to use them. Natural ingredients that are found in Kefamenanu are betel leaves. Education on making hand sanitizers from betel leaves helps sellers to be able to make their own hand sanitizers. The addition of aloe vera to betel leaves extract aims to make the liquid hand sanitizer becomes softer. While lime and perfume are to get rid of the betel leaves’ smell. The distribution of hand sanitizers that has been made can be an example of products from natural ingredients and the storage bottles provided can be used as a refill place for hand sanitizer.
SOSIALISASI BEASISWA STUDI LANJUT BERSAMA UPH, UNIMOR DAN IGI FLORES TIMUR Pramusita, Santa Maya; Situmorang, Komilie; Arkianti, Maria Maxmilla Yoche; Lidya, Christie; Tahulending, Peggy; Siahaan, Desta Gloria; Pardosi, Lukas; Seda Mada, Grandianus
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 6 (2023): INOVASI PERGURUAN TINGGI & PERAN DUNIA INDUSTRI DALAM PENGUATAN EKOSISTEM DIGITAL & EK
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v6i0.1983

Abstract

Continuing education is one of the initiatives done to strengthen an institution's human resources. In Indonesia, there are various scholarship programs offered to people to continue their education. However, because many individuals have not been socialized, they are unaware of the scholarships that are accessible. To address this issue, the PkM team of Universitas Pelita Harapan, Universitas Timor, and the Flores Timor Teachers' Association collaborated to organize a socialization of scholarship for further education to the general public, especially in Eastern Indonesia. This event is conducted in the form of an online webinar and is filled out by three speakers from each institution, all of whom have won scholarships. The webinar began with a presentation session in which the presenters discussed their experiences and suggestions, followed by a question and answer session for each speaker, and a closing. According to the assessment results, several participants were excited about pursuing their study overseas. This is evident in the numerous thoughts and queries given by participants about continued study abroad scholarships. Overall, the webinar went well, with participants expressing their satisfaction with the information and experiences offered by the presenters. The assessment form also stated that participants desired an advanced scholarship socialization webinar so that they could learn more about the many sorts of further study scholarships they may apply for.
The Comparison of Parameter Estimation in Exponential Distribution using Maximum Likelihood Method and Bayesian Method Grandianus Mada; Cecilia Noviyanti Salsinha; Beatrix Farena Mun
Mathematical Journal of Modelling and Forecasting Vol. 1 No. 1 (2023): June 2023
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/mjmf.v1i1.2

Abstract

This study aims to compare the parameter estimation process on the exponential distribution using the maximum likelihood method and the Bayesian method on service data at Bank BRI Atambua Branch. The result of processing data on 100 service time data obtained parameter values for the maximum likelihood method = 0,050942 and the Bayesian = 1,0008. By using the Akaike Information Criterion (AIC) feasibility test for these parameters, the AIC value for the maximum likelihood method was 797,4122 and the AIC value for the Bayesian method was 3.931,1002 so it can be concluded that the maximum likelihood method is better used to estimate parameters than Bayesian method.
Model Regresi Dummy Indeks Prestasi Akademik Mahasiswa Program Studi Matematika Faperta Unimor Grandianus Seda Mada; Nugraha K. F. Dethan; Faustianus Luan
Journal of Mathematics Theory and Applications Vol. 1 No. 2 (2023): Edisi April 2023
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v1i2.3759

Abstract

One indicator that can be used as a determinant in the quality of higher education is the academic achievement of students. Grade Point Average (GPA) is a measure of the academic performance. GPA gained students can not be separated from the quality of the incoming student input at the college. This study discusses some of the indicators that can be used as a measure of the quality of student input from the academic side, such as the National Examination (NE), the origin of school (public / private), gender and type of college entrance exam (SNMPTN test, SBMPTN test and independent institution test). Because some of these indicators are qualitative so the data analysis used regression analysis with dummy variables. Research conducted on students of Mathematics Study Program, Faculty of Agriculture, Timor University, class of 2017 to class of 2021. From the data processing, obtained regression model: . From the data analysis, concluded that the female students of Mathematics Study Program, Faculty of Agriculture, Timor University, coming from public schools and type of college entrance exam is SNMPTN have the greatest tendency to obtain high GPA compared with other students. In addition, for the regression equation obtained above was 38.2% means that the independent variable in the model can explain the diversity of the GPA of 38.2%.
Penerapan Fuzzy Inference System Tsukamoto dalam Menentukann Jumlah Produksi Tahu Pada Pabrik Alfaria KM 07 Kefamenanu Hendrika Yeni Meti; Grandianus Seda Mada; Leonardus Frengky Obe
Journal of Mathematics Theory and Applications Vol. 1 No. 1 (2022): Edisi Oktober 2022
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v1i1.3760

Abstract

Tofu is a food that is familiar to the people of Indonesia, because it contains many benefits and the price is cheap. One of the tofu production businesses in Timor Tengah Utara Regency is Alfaria's Tofu Business. Since its inception of this factory until 2019, the factory has experienced an increase in the number of production, but since the Covid-19 in 2020, the number of production has became uncertain due to social restrictions imposed by the government. There are many ways that can be done to determine the optimum production number, one of which is by using the Tsukamoto Fuzzy Inference System (FIS). The application of this method aims to provide a solution on how to determine the number of tofu that will be produced based on the number of vinegar and soybean raw materials, the availability of wood as fuel, the number of demand and supply of tofu. Then to determine the level of accuracy of the method used, an error check is carried out by comparing the difference between the predicted data and the actual data using the Mean Absolute Percentage Error (MAPE). Based on the results of calculations with Tsukamoto FIS, the number of tofu that must be produced by the Alfaria Tofu Factory throughout 2021 with an accuracy level of 96.25% is obtained, so it can be concluded that Tsukamato FIS method is very good to be used as a method for predicting the number of production for the Alfaria Tofu Factory.
PENERAPAN METODE SIMPLEKS UNTUK MEMPEROLEH KEUNTUNGAN MAKSIMUM PADA PENJUALAN SIRIH DAN PINANG DI KABUPATEN MALAKA (Studi kasus: Pasar Bei Abuk, Desa Wehali, Kecamatan Malaka Tengah) Oktovianus R. Sikas; Kristina Sri Ayu Bere; Faustianus Luan; Grandianus Seda Mada
Journal of Mathematics Theory and Applications Vol. 1 No. 2 (2023): Edisi April 2023
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v1i2.4111

Abstract

Permasalahan yang dihadapi oleh penjual sirih dan pinang Kabupaten Malaka adalah penjualan sirih danpinang secara terpisah yang lazim dilakukan oleh para penjual sirih dan pinang di daerah lainnya. Strategipenjualan seperti ini menyebabkan keuntungan yang diperoleh para penjual tidak optimal. Tujuan daripenelitian ini adalah memberikan strategi penjualan sirih dan pinang menjadi satu tumpukan atau disebut jugadengan kolaborasi antara sirih dan pinang. Metode yang digunakan dalam penelitian ini adalah metodesimpleks. Hasil yang diperoleh sebelum memberikan strategi penjualan kolaborasi antara sirih dan pinangmenjadi satu tumpukan dan menerapkan metode simpleks, keuntunga yang diperoleh dari penjualan sirih danpinang secara terpisah rata-rata sebesar Rp 2.500.000,00 dalam satu bulan. Setelah memberikan strategipenjualan sirih dan pinang yang dikolaborasikan menjadi satu tumpuka serta menerapkan metode simplekskeuntungan yang diperoleh rata-rata sebesar Rp 4.851.000,00 dalam satu bulan.
KAJIAN TEOREMA BOLZANO-WEIERSTRASS UNTUK MENGKONSTRUKSI BARISAN YANG KONVERGEN DI R^n DAN APLIKASINYA DALAM PEMBUKTIAN TEOREMA EKSISTENSI MAX-MIN Alfonsus Liquria Loin; Nugraha K. F. Dethan; Grandianus Seda Mada
Journal of Mathematics Theory and Applications Vol. 2 No. 1 (2023): Edisi Oktober 2023
Publisher : Program Studi Matematika, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/j-math.v2i1.5175

Abstract

A sequence is a function from the set of natural numbers to the set of real numbers . In sequences there is the concept of sequence convergence. Testing the convergence of a sequence can be done using the Bolzano-Weierstrass Theorem. This theorem states that every finite sequence has a convergent sequence. The relationship between convergent sequences and finite sequences is also important to study further. Apart from being used to prove the convergence of sequences, the Bolzano-Weirstrass Theorem can also be applied to prove the Max-Min Existence Theorem. This research was conducted to examine the relationship between convergent sequences and finite sequences, the relationship between convergence and continuous functions and the relationship between continuous functions and max-min values ​​with the aim of constructing a convergent sequence in R^n and its application in proving the Max-Min Existence Theorem. This research is a literature study. This research was conducted through a literature review of books and other literature. From the literature review, the materials are then discussed in depth. The results of the literature study show that a convergent sequence is a finite sequence, but a finite sequence is not necessarily convergent. In determining the convergence of a sequence using the Bolzano-Weierstrass Theorem, it is necessary to first show the limitations of the sequence. Furthermore, to prove the Max-Min Existence Theorem it is necessary to require that the sequence is finite and then this theorem can be proven using the Bolzano-Weierstrass Theorem and Apit Theorem. Keywords: Monotonous Sequence, Finite Sequence, Continuity, Bolzano-Weierstrass Theorem, Max-Min Existence Theorem.
PENENTUAN METODE DEFUZZIFIKASI TERBAIK FUZZY INFERENCE SYSTEM MAMDANI DALAM DIAGNOSA PRE-EKLAMPSIA PADA IBU HAMIL Desriyani Yulianita Br. Kolo Teti; Grandianus Seda Mada; Nugraha K. F. Dethan; Leonardus Frengky Obe
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12680

Abstract

Pre-eclampsia is the second of the three major causes of death in pregnant women after bleeding followed by infection. Pre-eclampsia is a disorder of unknown etiology specifically in pregnant women. To prevent pre-eclampsia from becoming increasingly severely diagnosed systems that can be used for pre-eclampsia premises syconome. One method that can be used to determine the pre-eclampsia diagnosis is the Fuzzy Inference System (FIS) Mamdani this method is based on the concept of fuzzy logic. The process of determining the final decision by this method has several stages, the application of implications, rules, and defuzzification composition. For defuzzification stages, there are four methods that can be used the method Centroid, Bisector, Mean of Maximum (MOM), Smallest of Maximum (SOM), and Largest of Maximum (LOM). This study aims to determine the diagnosis of pre-eclampsia (pregnancy poisoning) in pregnant women based on FIS Mamdani by previously determining the best FIS Mamdani defuzzification method. In determining the best defuzzification method, the measures Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), and Sum Square Error (SSE) are used. Based on the results of the prediction error comparison, the best defuzzification method to diagnose the pre-eclampsia status in Atambua Hospital is a bisector method with an accuracy of 95,48%.
Co-Authors Alfonsus Liquria Loin Aloisius Loka Son Andika Ellena Saufika Hakim Maharani Arkianti, Maria Maxmilla Yoche Azor Yulianus Tefa Bano, Elinora Naikteas Beatrix Farena Mun Benu, Didi Prasetyo Cecilia Novianti Salsinha Desriyani Yulianita Br. Kolo Teti Dethan, Nugraha K.F. Dira Asri Pramita Ernestina Lalian Estevania Daonce Mau Eva Binsasi Faustianus Luan Fried Markus Allung Blegur Hanas, Dicky Frengky Hendrika Yeni Meti Kristina Sri Ayu Bere Lidya, Christie Lukas Pardosi Maria Julieta Esperanca Naibili Matius Stefanus Batu Nabu, Andreas Giovani Nugraha K. F. Dethan Nugraha K. F. Dethan Obe, Leonardus Frengky Oktovianus R. Sikas Pramusita, Santa Maya Sansela Neonbeni Santos, Adriano Dos Siahaan, Desta Gloria Sikas, Oktovianus R. Siprianus Septian Manek SITUMORANG, KOMILIE Tahulending, Peggy Tea, Marselina Theresia Djue Wasim Raza Welsiliana Welsiliana Yakoba Yusina Muanley Yohana Noviayanti Da Silva Toti Yoseph Pius Kurniawan Kelen