Barriers to international collaboration include cultural differences, language, and education systems, as well as administrative, and logistical challenges, and resistance to innovation. The purpose of this community service is to enhance the quality of education through curriculum development, international collaboration, teaching innovations, and global educational awareness. Implementation method: using a PAR approach, involving all parties, with supporting media such as laptops, office supplies, activity implementation, and evaluation. The results of the activities show very positive outcomes with a significant impact on participants. Evaluations of ICFASS24, FlexS, and Mandarin Language Classes indicate high satisfaction levels, with the majority of participants rating on a scale of 5. ICFASS24 successfully expanded academic insights and developed participants' managerial skills, while FlexS was effective in building excellent personality and self-development through an Islamic psychospiritual approach. The Mandarin Language Class provided significant benefits in improving language skills and participants' global perspectives, enhancing teaching competencies, and preparing them to face global challenges. Conclusion: This service successfully enhanced the quality of education, expanded academic insights, developed skills, and prepared participants to face global challenges. 

This article aims to optimize the profit of seblak business through the application of Simplex method in linear program. Seblak is a popular business today with a wide variety of toppings such as meatballs, sausages, noodles, feet and many more, but efficient production planning and resource allocation can be challenging. In calculating this profit optimization, we use the Simplex method to identify production combinations that can generate maximum profit by considering various constraints related to raw materials, processing time, production costs to product selling prices. The result is expected to help seblak business owners in making smarter decisions regarding production, inventory, and pricing strategies, thus improving their business profitability.

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang dapat meningkatkan kinerja yang dimiliki staff Universitas PGRI khususnya staff yang mendukung kegiatan akademik.. Sampel dalam penelitian ini seluruh karyawan kependidikan Universitas PGRI Semarang berjumlah 106 orang yang diambil dengan metode sensus. Analisis yang digunakan berupa analisis regresi berganda dalam SPSS. Hasil penelitian menunjukkan bahwa untuk meningkatkan kinerja karyawan adalah dengan meningkatkan penggunaan teknologi informasi yang baik, menguatkan karakter individu serta menjaga motivasi karyawan. Sementara motivasi kerja tercipta karena adanya budaya kerja yang baik, penggunaan teknologi informasi didukung oleh karakteristik Individu yang baik. Hal ini sesuai dengan pembuktian hipotesis yang menunjukkan hasil bahwa penggunaan teknologi informasi, budaya kerja dan karakteristik individu berpengaruh terhadap motivasi serta penggunaan teknologi informasi, motivasi dan karakteristik individu berpengaruh terhadap kinerja karyawan. Motivasi dapat berperan sebagai mediasi hubungan antara penggunaan teknologi informasi dan karakteristik individu terhadap kinerja karyawan.

This research aims to gain a deeper understanding of the East Sepatan District's efforts in realizing excellent service in issuing E-KTP, which is based on the principles of good governance. Using a descriptive and qualitative approach, data was collected through field observations through interviews with informants consisting of Heads of Sections, Secretaries and Employees in East Sepatan District, as well as notes. Next, the data obtained was analyzed from the data reduction process, data presentation, and drawing conclusions. E-KTP services in East Sepatan District must meet the principles of good governance standards, namely including the principles of professionalism, transparency, supervision, responsiveness, democracy and participation, efficiency and effectiveness, foresight, and law enforcement, all of which comply with good governance standards. is trying to improve all these aspects and can be said to be almost on the verge of being good, but there are still several shortcomings and weaknesses in its implementation. The results of interviews and observations show that the e-KTP making service in East Sepatan District meets all the specified indicators. Solution So that good governance can be implemented optimally, governance principles such as legal regulations and justice need to always be considered and evaluated.

Salah satu permasalahan kesehatan yang sering ditemui di banyak negara termasuk Indonesia adalah stunting. Stunting telah mendapat banyak perhatian di Indonesia, terlihat dari alokasi APBN masing-masing sebesar Rp48,3 triliun dan Rp49,4 triliun pada tahun 2022 dan 2023 untuk bidang ini. Pada tahun 2022, Kementerian Kesehatan merilis temuan dari Survei Status Gizi Indonesia (SSGI) yang menyatakan bahwa angka stunting di Indonesia mencapai 21,6% pada saat Rapat Kerja Nasional BKKBN pada 25 Januari 2023.Hal ini menunjukkan pentingnya untuk mengerti pemahaman mendalam tentang faktor-faktor yang mengidentifikasi anak-anak berisiko tinggi terkena stunting. Banyak penelitian sebelumnya yang membahas faktor resiko stunting, namun masih sedikit penerapannya dalam metode machine learning, dalam data yang kompleks dan tidak seimbang.Penelitian ini mengevaluasi kinerja dari berbagai metode machine learning yang bertujuan dapat memberikan kontribusi penting dalam bidang kesehatan anak dan analisis data. Diantara metode machine learning yang dipilih metode Bagging Decision Tree mendapatkan nilai accuracy yang terbaik sebesar 78,93%, precision 78% dan recall sebesar 77,99%. Dalam penelitian ini menunjukkan bahwa metode ensemble learning mampu bekerja dengan baik dalam atribut multiclass dan data yang tidak seimbang pada dataset pertumbuhan balita.

In Bad Stock (BS) control at PT Sari Roti Semarang, it is crucial to reduce the company's significant losses. However, the selection of rejected and returned bread with poor quality is still prevalent. Based on production data and the amount of bad stock (a collection of returned bread from stores and rejected production), a decision support system for controlling bad stock using Fuzzy Tsukamoto is needed. In this decision support system, three variables are modeled: production, store returns, and production rejects. The production variable consists of two fuzzy sets: increase, remain the same, and decrease. The store returns variable consists of two fuzzy sets: decrease, remain the same, and increase. The production rejects variable consists of three fuzzy sets: few, normal, and many. The membership values are only two values, 0 and 1, while the membership values in the fuzzy sets are closed intervals [0,1]. By combining all these fuzzy sets, three fuzzy rules are obtained, which are then used in the inference stage. In the inference stage, the membership value of the antecedent (?) and the estimated amount of production (z) are found for each rule. The amount of rejected production (Z) is obtained by centered average defuzzification.
The research results based on expert validation testing indicate that the obtained values are in the range of 2.51-3.25, which is categorized as valid or good. Meanwhile, the validation testing from users indicates that the obtained value of 3.4 is in the range of 3.26-4.00, which is categorized as highly valid. The effectiveness testing of the system's performance results in an average value of 89.5%.